Business Intel Engineer

Amazon is seeking a business intelligence engineer for a high visibility role supporting Prime Video Advertising. This role sits within the finance & strategy org, and provides opportunities for impactful contributions to the Prime Video business. Business intelligence engineers partner with finance, strategy, and other stakeholders to solve complex problems, including, reporting & tooling automation, business analysis, and strategic planning. This role will oversee reporting and analysis of Prime Video FreeVee, and other ads related products. - Partner with Finance and Strategy managers to design reports and analyses which answer important business questions. - Build impactful, scalable data pipelines and automated reporting products. - Produce meaningful, timely, and actionable analyses to inform sports business decisions.- Design and implement metrics to measure effectiveness of new products. - Work with data engineers, economists, and product managers to optimize PV reporting and analysis infrastructure and operations. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Safety Performance Insights (SPI) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership.Key job responsibilities-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems-Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership-Identify opportunities and key criteria to drive analytical reporting and business strategy-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Simplify and automate reporting, audits, and other data-driven activities-Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation-Learn new technology and techniques to meaningfully support product and process innovationA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Are you a passionate Business Intelligence Engineer (BI Engineer) who wants to make a real impact on a big business? Read on!We are looking for seasoned Business Intelligence Engineers to join a BI team in the AWS Support organization. AWS Support, despite the impression that its name (“support”) might give you, is not a typical reactive customer service, but an independent AWS business that provides industry-leading offerings way beyond just “break-fix”. The business has a self-standing P&L and has even yielded revenue larger than most AWS Services. Managing an organization that provides support for ever-expanding AWS product portfolio to millions of customers across the globe is not a simple task and leaders in all functions inevitably need reliable data for their day-to-day operations and strategic decision-makings. The BI team is an integrated core part of the AWS Support operations delivering robust and trustworthy infrastructure to the truly data-driven organization.As BI Engineer, you will work closely with internal stakeholders to define key performance indicators (KPIs) through your deep understanding in support business and operations and implement the KPIs into dashboards/reports that drive the decisions made by senior leadership. The BI Engineers will have opportunities to not just exercise her/his technical skills such as SQL to retrieve data and convert it to simple graphs and tables, but to develop true dashboards that are information-rich and flexible yet intuitive and easy-to-use that help the support leadership quickly discover golden insights to serve AWS customers better. You will let the data answer questions such as “What is high/low quality means at support?”, “Is this particular customer happy with their support experience? “, and “How productive is this support agent versus other agents in the network?” The usage of the data that the AWS Support BI team publishes spans to other AWS teams outside of the organization. Support data serves as one of key leading indicators for new customer demands and for problems yet to be discovered. Such external usage might lead to “next big thing” launched by AWS!From technology perspectives, you will have opportunities to (and will be asked to) be exposed to the modern agile cloud-based data technologies. The team will be empowered to select the right technology, if necessary, based on customer needs and you will have the full set of AWS services in your toolbox.This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.Key job responsibilities- Understand the problem that's loosely defined or structured. - Provides BI solutions for difficult problems and works on delivering large BI solutions.- Provides solutions that drive team's business decisions and highlight new opportunities.- Improves code quality and optimizes BI processes.- Basic understanding of a scripting language. Knows how to model data and design a data pipeline. Able to apply basic statistical methods (e.g. regression) for difficult business problems.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Current, active US Government Security Clearance of TS/SCI with Polygraph- Experience with data modeling, warehousing and building ETL pipelinesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

We at Amazon Pharmacy are on a mission to reinvent pharmacy and are committed to building world’s most customer-centric pharmacy experience. We do this by delivering secure, convenient and price competitive pharmacy experience. The central analytics and data platform team plays a pivotal role in enabling data based business decisions.Do you want to be in the forefront of engineering big data solutions that takes analytics at Amazon Pharmacy to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing needs in the analytical space? We are looking for a rockstar Business Intelligence Engineer to be part of our data warehousing and analytics team. We are building real time analytical platforms using big data tools and AWS technologies.The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert on data modeling, ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. They are self-starters, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced team. Key job responsibilitiesPartner with Pharmacy business, tech and data science leadership to define and deliver a world-class data infrastructure supporting Amazon Pharmacy's continued growth and our mission to be Earth's Best Pharmacy. - Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users- Work with SDEs/other DEs to invent, design and build data solutions that are stable and performant.- Help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviewsAbout the teamWe accelerate business insights and data-driven innovation by providing trustworthy, intuitive, on-time and cost-efficient analytics and data engineering solutions. To accomplish our vision: (1) we provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data. (2) we leverage our position as a central data broker to identify and capitalize on opportunities for privacy and security improvements, cost reduction, and greater organizational efficiency (3) we continuously look ahead to identify common patterns in analytics and ‘pave the road’ for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally (4) we leverage our position as a central analytics team to surface key performance indicators for product and process improvements spanning across various pharmacy departments.- Experience building measures and metrics, and developing reporting solutions- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.- Completed Bachelor's degree- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Master's degree in statistics, data science, or an equivalent quantitative field- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses. The Global Risk Intelligence team (GRI) provides the data, science, and tools to support hiring over 1MM hourly associates every year, ensuring Amazon is able to meet it’s delivery speed goals, as well as helping choose new locations for Amazon logistics buildings. We are looking for an experienced Business Intelligence Manager to work with our engineers and leadership team. The ideal candidate will have a natural curiosity about solving problems, identifying the right metrics to inspect the business, and to help leaders make great data driven decisions. You will work with a highly collaborative team, and have direct influence over analytical roadmaps, establishment of key performance metrics, dashboards and report development. You’ll be responsible for working with senior leadership to provide analytics to build predictive modeling and insights into Workforce Staffing's Site Selection and Fill Risk Management use cases. Successful attributes include: effective communicator and leader of various levels and audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere.Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical). As you further your career as a Business Intelligence Manager, you will focus on improving corporate reporting frameworks and data visualization. You will build capacity solutions for the growing managed businesses. You will solve real world problems and build metrics and business cases to improve decision making. Key job responsibilities* Centralize reporting and synthesize insights to deliver predictive insights and recommendations for optimization.* Build solutions and drive strategies for organizational wide operational excellence and operational programs to evolve day to day reporting mechanisms* Work with teams from across Amazon to improve data quality within their respective products and platforms* Work with software developers / data engineers to improve data quality and drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.* Champion and actively develop a data-centric approach, acting as coach, mentor, champion and in-house expert within the WFI team* Be a “do-er” as well as a leader* Be a data and analytics expert that your team can turn to for assistance. Be able to produce individual analytics and guide individual contributors across the team.- 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software- 3+ years of quantitative and qualitative data science/business intelligence with significant business impact experience- 4+ years of working with very large data warehousing environment experience- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experienceAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon Transportation Services (ATS) is looking for an innovative, results-oriented and strategic Business Intelligence Engineer (BIE) individual who is comfortable diving into complex problems and can develop solutions to recommend business decisions. You have a organization-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results company-wide. You should be skilled in database design, conduct analytics using SQL and Python, and build lightweight tools and methods for others to replicate and scale their work. You are comfortable dealing with large and complex data sets, and have experience building self-service dashboards and using visualization tools especially QuickSight. You should have strong analytical and communication skills, and ability to work through ambiguous problems in a fast paced environment to develop and define key business questions and requirements.Key job responsibilitiesDesign, build, and maintain automated reporting, dashboards (especially QuickSight), and analyses to enable our team to self-service of data needs, allowing you to focus on answering hard and ambiguous problems.- Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle). - Ability to break down and solve complex problems while actively engaging with internal partners throughout the organization to meet and exceed customer service levels & transportation-related KPI’s - Recognize and adopt best practices in reporting/analysis: data integrity, test design, validation, and documentation while driving scalable solutions. - Understand data resources and know how, when, and which to use (and which not to use) - Continue to move forward in the face of ambiguity and imperfect data. Find a solution around the problem that still maintains a high analytical bar. You do not suffer from “analysis paralysis”. - Ability to manage through conflict with a positive, flexible and professional attitude - Communicate analysis results and techniques, both verbally and in writing, clearly and confidently to peers and business partners. - Explain analysis results to the stakeholders through verbal and written communications.About the teamTime & Distance Authority is an internal Amazon service that provides authoritative data on time and distance based events such as transit times and mileage for any route and mode worldwide. This data is essential for pricing, planning, and executing the transportation network. Our guiding principle is to maintain the highest standards in distance and time inputs, ensuring accurate delivery promises for retail, shipping, and freight customers while enhancing safety for Amazon drivers.- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership- Knowledge of data warehousing and data modelingAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

How often have you had an opportunity to be a member of a team that is tasked with resolving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role in the WWDE - Concessions Analytics team. This team is focused on the customer remediation experience, building technology to identify and personalize the concessions experience for customers. To continue providing the best resolution options for customers, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE). The Business Intelligence Engineer will partner with Software Developers, Data Engineers, , Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and pipeline development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team spirited and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain experience in one of Amazon's core businesses.Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's Degree- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Conversational search shopping team is looking for an innovative, hands-on and customer-obsessed Business intel engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Key job responsibilitiesIdeal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Executive Talent Management Analytics team is a team of Business Intelligence Engineers and Data Engineers with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with S-Team leaders and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.The Executive Talent Management Analytics team is looking for experienced BI engineer to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team self-serve and make informed decisions in a fast-paced, ambiguous business environment.Key job responsibilities· Align with leaders and customers to translate business issues into testable hypotheses answerable with data.· Develop and execute analyses to drive talent insights.· Create data capture and measurement strategies that drive business action.· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.· Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.· Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.A day in the lifeAs an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Come build the future as a Senior Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.About the teamWork/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Strong verbal/written communication & data presentation skills, including an ability to effectively develop and communicate clear, thoughtful, and comprehensive analyses.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you passionate about data? Are you a tinkerer by trade? Do you enjoy questioning the status quo? Do ambiguous, complex, and difficult challenges excite you? Are you experienced with people analytics and diverse populations? If yes, this may be the team for you.GTMC is seeking an experienced Business Intelligence Engineer (BIE) who is passionate about using data to drive critical business decisions for senior leadership. As a BIE you will be delivering data insights and deep diving novel questions to give our leaders access to data that is timely, accurate, and actionable. You will also partner with senior leaders throughout Amazon to drive insights, align scalable metrics, and track measurable results. Leveraging your passion for data, you will help create key analytical frameworks for our internal customers and business partners to utilize.Key job responsibilities • Conduct time-sensitive detailed data driven analyses to uncover DEI business trends or drivers of changes in the DEI metrics. • Utilize database technologies to design, develop, and evaluate analyses and innovative business intelligence tools and reporting.• Perform DEI-specific data extracts and build data pipelines to develop reports and dashboards.• Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. • Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. • Build business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data. • Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions.About the team The GTMC Modeling Analytics Research Science (MARS) team leads reporting on Amazonians for the Senior Team leadership, the Amazon Board, and external/public reporting. The team responds to Senior Team questions on all employees for regular reporting and topical deep dives. This work requires precise data accuracy with results that align across mechanisms and reporting, and scales for leaders to self-serve. We require robust data infrastructure and business intelligence capabilities that enable critical visibility into workforce representation, diversity indicators, and retention risks across the employee lifecycle. We work to identify new metrics to answer new questions at scale for evolving populations and business problems to drive workplace decisions for leaders. Key job responsibilities- Collaborate with IXT leaders on deep dive topics and reporting- Lead the integration of new Self ID data to IXT reporting- Deliver external diversity reporting for Amazon. - 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience managing, analyzing and communicating results to senior leadership- Experience working directly with business stakeholders to translate between data and business needs- Experience with data visualization using Tableau, Quicksight, or similar toolsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Do you thrive on developing your team to build and leverage best in class data products and solutions to make high-judgement decisions ? Are you looking for a role where you can have a long-term impact on the technology and business? Do you want to play a key role in shaping the future of small business owners in Last Mile delivery? We are looking for an experienced hands-on technical leader to join Lastmile Delivery Service Partner (DSP) Analytics organization. This role will lead team of Business Intelligence Engineers (BIEs) to drive Data & Analytics for DSP Performance measurement and improvements.As a Sr Business and Intelligence manager, this role will guide the data and analytics team to build and maintain data and reporting solutions, manage data infrastructure, develop and improve analytics products, simplify data access and unlock self-service insights. Through tooling, automation, data analysis and statistical modeling , their team will create solutions and feedback loops to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve their and customer’s experience, sentiment and quality.Key job responsibilities* Work with Product and Program managers, org leaders, SDMs, and Tech team members to to build relevant data products and solutions.* Build a team of BIEs, DEs and Data Scientists to create and support datasets, metrics and KPIs to meet DSP business goals.* In partnership with WW DSP Product & Offer and Transportation Experience orgs, develop relevant and defensible metrics and KPIs that drive and track business strategy.* Define and develop data infrastructure, data products , dashboards and visualizations for key metrics and KPIs.* Drive data governance (data integrity, metrics definitions, and single source of truths, accountability and documentation).* Establish strategic partnership with business stakeholders, build team's 1YP/3YP vision and effectively communicate and drive key initiatives.* Recruit, mentor, and lead a high-performing data team, fostering a culture of innovation, collaboration, and professional growth.* Provide guidance, feedback, and performance evaluations to team members, driving their development and success.* Stay updated with the latest technology trends, methodologies, and tools in Analytics, Data Engineering, and Data Science, recommending and implementing technologies that enhance insight capabilities and efficiencies.About the teamWe are the core Amazon DSP data analytics team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.- Bachelor's degree- 10+ yrs in Business Intelligence, Data Science, Data Engineering or Software Engineering role.- 5+ years of experience hiring and leading a Data, BI or Science teams.- Experience leading and influencing the data and BI strategy for their organization.- Experience owning/driving roadmap strategy and definitions.- Experience with feature delivery and tradeoffs of a product.- Experience driving and contributing to engineering, technology and data product strategy decisions.- Experience with SQL, Scripting/Programming (Python, R).- 2+ years’ experience with Tableau, Looker or similar BI Reporting Platform.- Experience with data modeling, warehousing and building ETL pipelines.- Analytical and quantitative skills; experience using data and metrics to test and confirm assumptions, and measure success.- Proven ability to identify, analyze, and solve ambiguous problems with an extreme attention to detail.- Knowledge of product experimentation (A/B testing)- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- Excellent written and verbal communication skills. Ability to simplify complex topics for broad audiences, as the role requires effective communication with colleagues from computer science, operations research and business backgrounds.- Experience with AWS Tools and Technologies (Redshift, S3, Athena)- Prior experience in customer sentiment analytics workAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153,600/year in our lowest geographic market up to $265,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Amazon Privacy team is on a mission to make it easy for Amazon teams to meet customer expectations and regulatory obligations when it comes to taking care of their personal data.As a Business Intelligence Engineer for Amazon Privacy, you will own, source and deliver the metrics which enable Amazon Privacy to validate to ourselves, to our internal partners, and to our external stakeholders that we are meeting our privacy obligations across the company. To extract data and meaningful insights, you will partner with our product and engineering teams who own tools used by builders and privacy specialists across the company. You will work with product and engineering leads to discover new ways to view and report on privacy impacting initiatives.Privacy is a fascinating, fast-moving and ever-changing area - there's still many opportunities for invention and innovation ahead of us.Key job responsibilitiesYou will own sourcing data to be used in our internal dashboards, as well as our regular business reviews, weekly, monthly, and quarterly. You will work with the Amazon Privacy product team to build a scalable ongoing metrics and analytics program. You will research the impact of privacy automation and tooling on both customers and business users. You will coordinate with our internal auditing team to ensure we have the data necessary as part of our overall evidence of compliance program.About the teamWe own software products that teams use to identify their privacy obligations, as well as the products they use to support those obligations in their software.We partner with core builder framework teams, privacy legal, and privacy specialists across the company. Our teams are in Arlington VA, Austin TX, Seattle WA and Romania.Privacy knowledge is beneficial but not at essential. Many of us learned on the job, having come from other Amazon teams.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

WW Ops Finance S&A team is seeking an experienced Senior BI Engineer with excellent ETL skills along with analytical abilities. Would you like to be part of team driving business intelligence strategies for one of the largest supply chain in the world and helping improve delivery experience for billions of Amazon customers worldwide? Come join us!Key job responsibilitiesThe ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's supply chain. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion. You need to be able to convey your ideas via clear and concise verbal and written communications. - Interact with business customers, gather requirements and deliver accurate, easy to use and scalable Business Intelligence solutions in AWS (Redshift, EMR, Glue, S3 etc), Quicksight/Quicksight Q, Python/R, and other Amazon proprietary BI tools - Build ETL, data pipeline jobs, appropriate aggregations, and automated delivery in SQL, Python/R, shell script. - Design data models on varied database platforms like Redshift, MySQL or object based data stores. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data set. Not afraid to deep dive in big data.A day in the lifeWithin this role you will have unique opportunities to work alongside engineers, product managers, data scientists, program managers and finance leaders to help build next gen analytics and data driven reporting supported via one of the largest finance data warehouses and/or datalake. You will be helping scale the supply chain cost allocation/analytics which spans across multiple geographies of North America and Europe. You will work closely with product managers to design and implement new cost allocation strategies, work with engineers across the transportation network to assess impact of new program rollouts & help build operational and anomaly detection reporting solutions. Amazon has a culture of being builders and you will get to use the latest technology stack offered via AWS and internal amazon tools to help scale big and fast. About the teamWW Ops Finance S&A (Standardization and Automation) is the central Data and BI team serving the Amazon supply chain and transportation finance organization. Our BI team owns multiple single source of truth data assets that are keys to initiatives to drive supply chain optimization and improve end-to-end profitability of Amazon store business.- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership- If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon owned and operated sites and on other high quality sites across the web. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising product with a relentless focus on the customer, you’ve come to the right place.Business Intelligence (BI) enhances internal teams’ decision-making by providing data analysis and developing measures to extract meaning from Amazon Advertising’s global operations. We are seeking a Business Intelligence Engineer with strong analytical, visualization and communication skills to join our team. This role will be a working closely with Moderation and Relevance System (MARS) team to design, develop, maintain and automate the metrics and reporting for the team and perform analytical study on the business impacts of critical task. You will design, develop data infrastructure, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping the team build great products and solutions.Key job responsibilities* Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our internal partners.* Partner with cross functional teams to collect data requirements.* Manage the request intake process and prioritize different data tasks in partnership with all stakeholders.* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.* Participate in strategic & tactical planning discussions.* Hands on with SQL and should be able to write and update complex SQL queries.* Model data and metadata to support ad-hoc and pre-built reporting.- Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools- 2+ years of relevant work experience in Analytics, Business Intelligence, Data Science, Data engineering- Advanced Knowledge of SQL and its variants- Advanced working knowledge of data mining using ETL, data warehouse as well as Excel- Ability to deal with ambiguity and competing objectives in a fast paced environment- Master’s degree in related field (Mathematics, Statistics, Computer Science, Finance, Economics or similar quantitative field)- 4+ years of industry experience working as a BIE, DE or related specialty- Knowledge in statistical programming languages such as R, SAS, Python- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- Strong written and verbal communication skills- Experience communicating and influencing across job levelsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you passionate about transforming data into actionable insights? The Customer Service Security - Application Security team seeks an innovative and results-driven Business Intelligence Engineer to join our team. In this role, you will transform data into actionable insights, leveraging cutting-edge data products to drive high-impact security decisions. You'll dive deep in our data, identify root causes, and think ahead to uncover new patterns and opportunities. Collaborating closely with security engineers and software development engineers, you will use data to guide the resolution of security issues. Join us today to enhance Amazon's security posture through data-driven solutions and play a key role in shaping our data-informed security strategy.Key job responsibilities1. Develop robust, extensible, and scalable Business Intelligence solutions for security problems.2. Create and refine data strategies, making technical trade-off decisions for short and long-term requirements.3. Bridge communication between business and engineering teams to provide actionable insights into business performance.4. Conduct ad-hoc investigations to support future improvements and innovations.5. Gather and manipulate data, solve problems, and communicate insights and recommendations clearly.6. Write high-quality SQL queries and Python code to retrieve and analyze data efficiently.7. Build compelling data visualizations that illustrate business trends, patterns, and outliers.8. Stay current with BI tools, technologies, and best practices to continually improve solutions.About the teamThe Customer Service Security - Application Security team provides proactive security guidance and support to an Amazon business unit. We address security early in the software development lifecycle by providing guardrails and paved paths. We also bridge gaps between application security and software engineering by advocating for secure coding standards, automating processes, and developing reusable security solutions leveraged company-wide. We stay ahead through continuous research into emerging threats and adoption of new techniques and best practices. Our collaborative environment encourages diverse perspectives and continuous learning to shape cutting-edge strategies that protect customer data while delivering reliable, trusted services.ABOUT AmSec:Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who thrive in ambiguity to join the BI team of a tech organization under Workforce Planning.The ideal candidate will have a passion for automation and clean, streamlined process design. The applicant will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and an aptitude for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical and intuitive data . In addition, this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.About the teamThe Strategies Labor BI team elevates the labor planning experience by producing insights and data for our customers.We do this by:1) Generating actionable insights to inform product roadmaps, drive strategic decisions for our customers2) Enabling stakeholders through automated reporting, self-service dashboards, and/or company-wide tools/metrics;3) Improving our data architecture and processes to reduce time spent on KTLO and Operations;4) Supporting general business needs (e.g., xBRs, escalations, ad hoc requests) and operations.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysisAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale systems excite you? If you answered yes, come build the future of entertainment with us!Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.Amazon is seeking a Business Intelligence Engineer for a high visibility role supporting Prime Video Sports. This role sits within the Finance & Strategy organization, and provides opportunities for impactful contributions to the Prime Video business. Business Intelligence Engineers partner with finance, strategy, and other stakeholders to solve complex problems, including, reporting & tooling automation, business analysis, and strategic planning. This role will oversee reporting and analysis of major sports properties, such as Thursday Night Football and UEFA Champions League. Key job responsibilities- Partner with Finance and Strategy Managers to design reports and analyses which answer important business questions. - Build impactful, scalable data pipelines and automated reporting products. - Produce meaningful, timely, and actionable analyses to inform sports business decisions.- Design and implement metrics to measure effectiveness of new products. - Work with Data Engineers, Economists, and Product Managers to optimize Prime Video reporting and analysis infrastructure and operations. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Overview of roleBusiness Data Analytics is a critical function at eero, reporting to the Head of Business Operations . This technical role, which falls under the Business Intelligence Engineering job family, will be responsible for analyzing large sets of business data and building automated dashboards and reporting. They will work closely with the Sales, Marketing, Finance, BI, Manufacturing, and several other Operations teams to develop robust end-to-end analytical workflows and data-informed analyses, ultimately supporting successful business growth, operational efficiency, and sales acceleration. As a Senior Business Intelligence Engineer, you will be responsible for architecting scalable, best-in-class business intelligence solutions and processes. This is a highly visible role in which you will have a high degree of autonomy, and outsized impact.We’re looking for someone who:- Is both technically excellent in SQL, as well as strategically sound so they an partner the business teams well - Has extensive experience working directly with business teams, and most specifically, go-to-market (GTM) teams, such as Sales, Marketing and Partner Success - Is highly analytical and process-driven, can assist with strategic planning, drive decisions forward, execute on high-impact projects, and lead through influence. - Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it. - Demonstrates ability to think strategically and analytically about business, product, and operational challenges. - Has experience managing stakeholders at all levels. - Enjoys rolling up their sleeves in a fast paced startup environment and getting things done. - Is able to work cross-functionally with many teams and multi-tasks with a sense of urgency. - Has an uncanny ability to embrace ambiguity and see around the corners. - Has impeccable attention to detail, follow-through, and resourcefulness.Key job responsibilitiesWhat you will do:- Analyze large business and sales data sets to identify patterns, understand drivers, and generate insights to accelerate sales and drive operational efficiencies- Write queries to extract data and insights combining datasets within eero with Amazon datasets and or/publicly available datasets- Design, build, and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo: our business generates a lot of data and only so much can be analyzed effectively to drive decision making. As you get to know the business from multiple perspectives, you'll be responsible for proactively bringing together data insights and crafting data-informed stories. - Build the Business Intelligence roadmap: you will spot the highest priority business intelligence initiatives and improvement areas, and plan to address those in the short, medium and long term- Enable data access, literacy and self-sufficiency: As you work with various teams at eero, you will gather a sense of their business and data-related needs, and craft scalable solutions to address them. You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.- Work closely with our Finance and BI teams on consolidating key data sources in one place, building the foundation to enable efficient data analysis across several business teams. - Drive weekly, monthly, and quarterly business reporting to leadership across eero and Amazon: you will be the hub for business data and communication, and act as the primary point of contact for key business data for some of eero’s largest sales channels. - Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets- Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders- 5+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with AWS technologies- Knowledge of data warehousing and data modeling- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadershipAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure. About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. About the teamDiverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysisAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Do you want to play a crucial role in the future of Amazon's retail business by building data analysis systems that enable data driven decision-making at the largest scale possible?The Promise team sets the expectation of when customers’ items will arrive. The delivery promises we make are key drivers of customer behavior and influence the short and long-term profitability of Amazon’s global retail business. We serve as the interface between customer expectations and Amazon's industry-leading fulfillment capabilities. We are part of the Supply Chain Optimization Technology (SCOT) Group that develops and manages systems that optimize inventory acquisition and placement, so products are available for fast delivery. (For more information on SCOT, see this short video: Successful members of the Promise team are customer obsessed, flexible, and collaborative team players who enjoy working across functions and organizations to solve problems and get results. They ask hard questions and build solutions that provide the critical business insights needed to influence decision-making across retail and operations teams. They find timely answers buried in large data sets and complex systems, identify root causes, and get their hands dirty building data systems and sharing insight.The Promise team is seeking a Business Intelligence Engineer with broad technical and analytical skills to develop the data analysis systems we use to make decisions to optimize delivery promises for Amazon's customers worldwide. As an Amazon Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will work on analytics, visualization solutions, and other Business Intelligence applications used by researchers, engineers, and management across multiple departments. You should be reliable at designing, implementing, and operating stable, scalable, low-cost solutions that analyze data from production systems into end-user facing applications. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You will need excellent business and communication skills to work with researchers and business owners in a fast-paced environment to develop and define key business questions and requirements. Above all, you should be passionate about working with huge datasets and analytics tools to provide insight into how the business is running and enable business decisions to be data driven. Key job responsibilities· Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis· Transform complicated business problems into mathematics modeling and provide data-driven solutions· Analysis of historical data to identify trends and support decision-making, including written and verbal presentation of results and recommendations· Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.· Mining and manipulating data from database tables, simulation results and log files· Identifying data needs and driving data quality improvement projects· Understanding the broad range of Amazon’s data resources, which to use, how, and when.A day in the life· Routinely performs and presents deep dives and anecdotes to gain more granular understanding of why a promise occurred and whether there are gaps in fulfillment systems which, if resolved, could speed up delivery. Build logic to attribute these root causes at large scale and put together underlying data pipeline to make this information available for metricizing and accessible for other teams within Amazon.· Regularly reviews the promise metrics for putting together callouts for weekly business reviews by performing ad hoc analysis and reaching out to appropriate teams to get further understanding of the issue. Another part of this exercise is to track and callout negative trends which need more attention from the leadership, identify the root cause(s), and recommend next steps to resolve the issue.· Works cross-functionally with various teams in Fulfillment Optimization organization to understand how they interact and affect the order fulfillment process and identify system gaps which could impact promise speed. They continue to resolve the gap by working closely with software teams to design and implement solutions to address these gaps and develop metrics to track it going forward.About the teamPromise Insights team in Austin develops and manages various critical services for customer delivery promise to improve our ability to analyze, understand, forecast, and modify promise behavior with a predictable result. The team owns the Promise data pipeline which captures relevant data from Promise services; Promise Analytics Platform and Web tools like Promise Viewer provide meaningful insights to stakeholders (PMTs, RSs, BIEs, Economists, and SDEs) for data-driven decision-making. We also use that data to run simulations to help answer business-critical questions; e.g., what is the impact on delivery promises and Amazon business if we had infinite inventory in every warehouse? Simulation plays a key role in enabling teams to achieve their business goals by identifying and sizing opportunities for increased profitability through cost savings and customer experience improvements. Simulations also provide insight into promise speed variants and the factors that impact them.The team is currently focused on evolving our capabilities into platforms that can be used across the company as well as expanding our Tools to not just present existing data, but to analyze that data against other systems to preemptively answer questions around what caused deviations in expected behavior.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Master's degree in sciences, engineering, finance or equivalent- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.