Business Intel Engineer

We are seeking a talented and experienced Business Intelligence Engineer to join our team. In this role, you will be responsible for developing and implementing data models, data governance frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization. You will work closely with stakeholders to understand their analytical needs and provide self-service analytics and reporting capabilities.Amazon Web Services (AWS) provides a scalable cloud computing platform to companies globally. AWS Global Services (GS), formed in 2022, delivers customer success throughout the cloud adoption lifecycle. Our 25K+ employees and integrated offerings enable us to combine technology and human expertise to maximize and accelerate customer outcomes.GS is comprised of four primary business units: 1) Global Services Security (GSS) provides security guidance and offerings, 2) Training & Certification (T&C) offers cloud skills training and certification, 3) Professional Services (ProServe) provides consulting and hands-on-keyboard services, and 4) Support and AWS Managed Services (Support) delivers 24/7 technical support and managed services.Together, these teams continuously improve our systems and processes to enable better results for both customers and employees, with the GS Strategy & Operations (GSS) teams supporting each. GSSO enables integrated business support, product management, planning, and deal strategy for GS. GSSO understands customer experiences and inspires bold ideas to deliver the best experiences and solutions to our customers. We embrace scientific thinking, pursue continuous improvement, and develop talent to provide world-class support across GS.Key job responsibilitiesKey Job Responsibilities:• Develop and maintain data models and schemas for Page0 data, entitlement model data, propensity model data, and other relevant data sources.• Contribute to the design and implementation of a centralized data warehouse architecture, ensuring scalability, performance, and data integrity.• Collaborate with data engineers and architects to ensure alignment between data models and the underlying data infrastructure.• Establish and enforce data governance policies and procedures to maintain data quality, consistency, and integrity for Page0 data, entitlement model data, and propensity model data.• Implement data quality controls, monitoring, and reporting mechanisms to ensure data accuracy and reliability.• Continuously monitor data quality, identify issues, and collaborate with relevant teams to implement remediation measures as needed.• Build interactive dashboards and visualizations to present key metrics and insights for Page0, entitlement models, and propensity models.• Develop self-service analytics and reporting capabilities, enabling users to explore and analyze data independently.• Collaborate with business users to understand their analytical requirements and translate them into effective visualizations and reports.• Conduct enterprise-wide data discovery and profiling to identify potential data sources and understand their characteristics.• Analyze data sources for relevance, quality, and potential integration into the BI ecosystem.• Develop comprehensive training materials and documentation for Page0 data, analytics, and reporting tools.• Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.• Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.• Stay up-to-date with emerging BI technologies, tools, and best practices, and propose enhancements or new solutions to improve the organization's BI capabilities.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 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 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. - 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 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.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.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.As the Business Intelligence Engineer for the Operations Program Management team you will develop and implement ideas that drive continuous improvement and streamline production of our satellite technology.Key job responsibilities• Work closely with multiple production teams to understand their challenges and provide data/analysis for better decision making. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.• Learn and understand a broad range of Kuiper’s data resources and know how, when, and which to use.• Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.• Build self-service reporting platforms, establishing automated processes for large scale data analysis.• Understand and write high quality queries to retrieve and analyze data (ongoing reporting and adhoc requests).• Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity.• Manage the local data infra-structure, and develop scalable solutions for data storage.• Simplify and automate reporting solutions.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeThis role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. You will tackle challenging, novel business problems every day and have the opportunity to work with multiple technical teams of Kuiper.You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people.About the teamThe Operations Analytics Team (OAT) was established to develop end-to-end analytics products. That includes both tools and insights for ProdOps leadership and functional teams. OAT products are to be used as “single source of truth” insights and metrics that production teams drive performance with. The OAT team works in parallel with the Kuiper Production PMO office to coordinate actions and release analytics products across all Kuiper teams. - 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- 5+ years of professional or military experience- 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- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 3+ years experience with data visualization using Tableau, Quicksight, or similar tools- 3+ years experience with data modeling, warehousing and building ETL pipelines- 3+ years experience writing complex SQL queries- 3+ years experience in Statistical Analysis packages such as R, SAS and Matlab- 3+ years experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership- Master's degree in statistics, data science, or an equivalent quantitative field- Experience with operations/supply chainAmazon 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.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.The Sr. Business Intelligence Engineer, Kuiper Marketing, will bring a mixture of advanced data management, analysis, modeling, and dashboarding skills. The ideal candidate will use data-driven methods to answer business questions and play a key role in the development of our marketing measurement infrastructure. The right person in this role will be able to deal with ambiguity and take the lead in defining frameworks where no prior examples exist. They will be an ambitious self-starter with the ability to operate independently and thrive in a fast-paced environment. Demonstrated ability and willingness to roll up sleeves and execute to get the job done will be key to success in the role. Key job responsibilities- Create and maintain complex queries and data pipelines.- Extract data for analysis and model development from large, complex datasets to address business questions.- Develop dashboards and visualizations that incorporate decision science to inform business decision-making.- Partner on the development of marketing measurement models and bring to production.- Apply advanced analytics to evaluate the causal impact of marketing on customer attitudes and behaviors.- Collaborate effectively with business partners and team members to align data business intelligence efforts with strategic goals.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- 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.- Master's degree in statistics, data science, or an equivalent quantitative field- Experience managing, analyzing and communicating results to senior leadership- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience building measures and metrics, and developing reporting solutions- Experience working directly with business stakeholders to translate between data and business needs- Experience working with and developing marketing science solutionsAmazon 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.

The goal of Amazon is to build a world class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually working to provide optimized service levels through the introduction of new products and services.The On Road Staffing (ORS) team is seeking a talented Senior Business Intelligence Engineer (Sr. BIE) to join our team. Our team is scaling processes and initiatives fast, requiring the Sr. BIE to hit the ground running.This leader will have solid business acumen, be comfortable interfacing and driving across various functional teams, have a passion for developing and implementing processes in an ambiguous problem space, and be willing to roll up their sleeves to build a program that will significantly impact Amazon’s last mile delivery capabilities. The leader will have a proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.The role may be based in one of the following Amazon corporate locations:- Nashville, TN - Bellevue, WAKey job responsibilities - Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs - Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, QuickSight and Tableau skillsets - Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it - Use data mining, data modelling ,data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business - Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions- 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.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.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Are you interested in building highly impactful business intelligence (BI) solutions in a mixed team of BIEs, Data Scientists, Data Engineers, and SDEs? If so, you should consider a role in AWS Hardware Engineering Services.We are responsible for designing, qualifying, and maintaining server solutions for AWS and its customers. The Data Science and Analytics team supports the broader Hardware Engineering organization by acting as conduits between the data and the business. As a Business Intelligence Engineer in our team, you will support the design, implementation, and delivery of BI solutions in a complex problem space that has a long-term impact on a business, organization, and technology. You will gain exposure to both Data Science and Data Engineering disciplines, while developing your technical skills and leadership ability. The ideal candidate will be experienced in the areas of data and business intelligence systems. You have a demonstrated record of driving new analytical solutions from inception to launch. You are highly skilled with SQL, have experience developing ETL processes, understand data visualization tools such as QuickSight, and have familiarity with at least one scripting language.About the teamAmazon 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.Amazon Web Services (AWS) 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.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 in the cloud.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.We’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.- 5+ years of experience in analyzing, interpreting and reporting data- 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 working directly with business stakeholders to translate between data and business needs- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftAmazon 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 love books? Do you enjoy reading Manga? Interested in creating a great customer experience for Amazon Japan's Books business? Join us and be a part of making Amazon JP #1 destination for books. The JP Books team is looking for a seasoned Business Intelligence Engineer. The ideal candidate is a motivated self-starter, highly analytical, and detail oriented with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment. You must be comfortable working at both strategic level (using customer insights and data to generate innovative ideas for growth) and at tactical level (building dashboards and monthly reports to measure business health). In this highly visible role you will serve as liaison between the business and technical teams to identify, develop, and execute quantitative analyses and provide actionable insights into current business performance.Key job responsibilities- Design, develop and maintain scalable, automated reports, dashboards and user-friendly systems etc. to provide actionable insights into current business performance. - Apply your deep analytic and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets.- Partner with business/economist/software engineering/science teams to consult, develop and implement KPI’s, automate solutions and data infrastructure improvements to support our business needs.- This role will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.- Find scalable solutions for recurring ad-hoc investigations About the teamOur team owns analytics and BI infrastructure across breadth of business areas like Manga, Demand, Supply Chain, Marketing and Vendor management. Each team member owns and acts as subject matter expert for their business area within our organization. We partner with business leaders, product managers and software teams to launch Amazon JP products, gamification experiments and measure success of new strategic initiatives. This is an exciting role where you’ll get to learn different aspects of how Amazon runs a business. - Bachelor's degree in sciences, engineering, finance or equivalent- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience writing complex SQL queries- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with data visualization using Tableau, Quicksight, or similar tools- Master's degree in sciences, engineering, finance or equivalent- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and MatlabAmazon 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.

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.

We are looking for an experienced and enthusiastic data engineering and insights professional with a proven track record of delivering influential solutions to complex and ambiguous problems. A practiced researcher, who uses data engineering, statistics, systems knowledge, and data visualization to guide decision making for cross-functional leadership teams. We are seeking a collaborative individual who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to robotic architecture or design.Key job responsibilitiesIn this role, you will support Amazon's newest robotic technologies through their Alpha, Beta, and General Availability phases. A day in the lifeYou will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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!About the teamThe Amazon Robotics Business Intelligence, Analytics, and Data Science team discovers insights in vast and varied robotic data to support decision-making for engineering and operations customer teams. We collaborate with designers, software and hardware engineers, and operations teams to understand system performance, make feature and design trade-offs, and inform decisions on new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and data visualizations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.- 8+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results- 5+ years of SQL experience- Experience managing, analyzing and communicating results to senior leadership- Master's degree in statistics, data science, or an equivalent quantitative field- Knowledge of data warehousing and data modeling- Experience building measures and metrics, and developing reporting solutions- Knowledge in using AWS tools and writing/optimizing SQL to handle extremely large datasets as well as Python scripting for statistical 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 $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.

Job summaryAmazon is looking for a Business Intelligence Engineer to help pioneer the reporting framework for an emerging Transportation business. As a Business Intelligence Engineer, you will own the roadmap, strategy, and infrastructure for critical Operational and Financial reports used to manage the business. You will partner with and understand the needs of geographically-dispersed leads. You will develop and manage a feature roadmap that contains near, medium, and long-term enhancements. You will advise the BI lead and stakeholders on the milestones and associated prioritization. Collectively, your work will enable the business to drive better business decisions, and empower stakeholders to understand their business and customers in new ways.The Business Intelligence Engineer will have the tools for success. You will have access to (and help develop) a rich and growing dataset. You will use on AWS’s growing list of data solutions including: Redshift, Athena, Sagemaker, and Redshift Spectrum. You will create visualizations using Tableau, Tableau Server, and Amazon Quicksight. You will receive support from your Business Intelligence colleagues, a team of Data Engineers, and Business Intelligence Lead.A successful candidate will understand and anticipate stakeholder needs and think big when recommending solutions. A successful candidate will be comfortable navigating an ambiguous environment; know how to confirm and reconfirm assumptions; and be comfortable advocating for the right set of priorities. A successful candidate will contribute to the team, proactively seek and provide feedback on technical designs, and build for the long-term.Day-to-Day Expectations• Define and manage a long-term vision to improve the customer experience and business results through creating scalable metrics, analysis, visualizations, and data-driven storytelling.• Prioritize business insight requests; balance the tactical and strategic information needs of the business• Collaborate and partner with Operations teams to understand, anticipate, and respond to current and future needs• Lead the definition and governance of key business metrics, drive the vision and building of self-service analytic capabilities, and engineer data-driven processes that drive business value• Connect with the Amazon community of data professionals to stay current on technology trends, data tools and techniques to improve the performance of the team• Create and foster an environment that values and promotes an inclusive approach to problem solving and continuous learning to improve- 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 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. 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.

Intelligence & Industrialization (I&I) is a functional team that provides data analytics, business intelligence, and software configuration support to business users within Global Supply Chain and Transportation Procurement (GSCTP) and Global Mile - Amazon Customs & Trade (ACT).ACT is an expanding business unit under worldwide operations for Customs Brokerage operations. Customs brokerage involves the coordination of a complex network of sellers, shippers, logistics service providers (LSP), compliance, and government authorities to facilitate clearance of goods for cross-border transportation. Timely submission of documents and coordinating with customs agents to ensure hassle free clearance of shipments is a crucial step in the logistics process to ensure on-time delivery of product to our customers.As a BIE II, you will support analysis, improvement and creation of metrics and dashboards for ACT stakeholders. You will join a team that insists on highest engineering standards and work with internal customers at all levels of the organization – Operations, Product, Finance, Technology, and Leadership – across multiple geo's (US, EU, CN). A successful candidate should be able to communicate effectively in working with business owners to develop and define key business questions, and build data sets that answer those questions. You should be expert at designing and implementing stable, scalable, low cost ETL pipelines and support analysis, improvement, and creation of metrics and dashboards.Key job responsibilities- Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.- Collaborate with team members on reporting datasets; review and raise code reviews (PL/SQL and Python); successful candidate should have experience with Amazon's internal code repositories.- Working with technology and analytics teams to support the development of tools, automation, and dashboards.- Communicating with and supporting various internal stakeholders and external audiences.- 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- Experience with data modeling, warehousing and building ETL pipelines- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with data visualization using Tableau, Quicksight, or similar tools- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with forecasting and statistical analysis- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience with AWS solutions such as Glue, Lambda, SES, Athena, and SageMaker; experience with PySpark and Spark SQL.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 Inventory Controllership team is looking for a Business Intelligence Engineer who is data-driven and detail oriented, to partner in expanding our financial data and reporting systems to support our global inventory financial reporting. You should have excellent business and communication skills to be able to work with business owners and tech leaders to gather requirements, build data pipelines and reports/dashboards/automations to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. This person must be strategic and have strong analytical skills, robust interpersonal and influencing skills, strong organizational and project management skills, and is a self-starter. They will need to roll up their sleeves, work both independently and collaboratively across teams, and have a high level of ownership and accountability.Key job responsibilities- Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators.- Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.- Design and automate ETL pipelines for business metrics.- Partner with stakeholders from business, product and operations teams to define priority of BI projects, and reporting / Program Management for BI projects- Performing deep-dives to derive actionable insights; Creating models to predict outcomes and optimize business processes- Building self-service reporting tools and dashboards- Providing SQL support and delivering trainings (SQL, QuickSight, etc.)- Research the most appropriate methodologies for a given analytical problem.- Contribute to key business documents.- Architect and develop scalable data pipelines - Develop new data models and end to data pipelines.- Actively participate in design reviews of related tech products.- Interface with multiple finance and accounting customers, gathering requirements and delivering complete solutions.- Analyze and solve problems at their root, stepping back to understand the broader context.A day in the lifeWork with the largest dataset in Amazon Inventory in the world to drive financial insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable reporting solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, Gen AI and ad-hoc data requests.About the teamInventory Accounting Controllership is one of the most challenging and exciting spaces to work for, with high inventory turnover and being required to seamlessly integrate with the Amazon Fulfillment Tech (AFT) systems for automatic Ingestion inventory activities for proper accounting to keep our books complete and accurate. - 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 working directly with business stakeholders to translate between data and business needs- Experience in discovering business requirements and creating insightful dashboards tailored for various levels of the organization, including senior leadership.- The successful candidate will be able to deliver products that exceed customer satisfaction, ensure data accuracy and completeness, automate manual tasks and develop efficient data pipelines.- 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- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy- Understanding of system performance and scaling- Knowledge on LLM and Gen Ai.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.

We are looking for an experienced and self-driven Business Intelligence Engineer with deep understanding in analytical tools, to be part of a team of talented scientists and engineers to innovate, iterate, and solve real world problem with cutting-edge AWS technologies. In this role, you will take a leading role in driving business analytics to inform the tech roadmap. You will join a cross-functional, fun-loving team, working closely with scientists and engineers on a daily basis. You will lead end-to-end development of business intelligence solutions and you’ll play an integral role in strategic decision-making. If you are passionate about creating the future, come join us as we have fun, and make history.Key job responsibilities- Define and execute an analytical roadmap that drives data-informed decision making for marketers and advertisers- Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions- Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale- Partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases- Drive and lead of culture of data-driven innovations within and outside across Amazon Ads Marketing orgsAbout the teamMarketing Decision Science provides science products to enable Amazon Ads Marketing to deliver relevant and compelling guidance across marketing channels to prospective and active advertisers for success on Amazon. We own the product, technology and deployment roadmap for AI- and analytics-powered products across Amazon Ads Marketing. We analyze the needs, experiences, and behaviors of Amazon advertisers at petabytes scale, to deliver the right marketing communications to the right advertiser at the right team to help them make the data-informed advertising decisions. Our science-based products enable applications and synergies across Ads organization, spanning marketing, product, and sales use cases.- 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 datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldAmazon 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.

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Modeling Analytics and Research Science (MARS) team within the GTMC Science, Insights, Engineering Research, Reporting and Analytics (SIERRA) team is a team of Research Scientists, Data Scientists, and BIEs 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 Amazon’s Senior Vice President of PXT (People eXperience and Technology) and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape. MARS is looking for experienced analysts 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.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 - 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- 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.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 inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you’ll fit right in here in Mechatronics and Sustainable Packaging Integrated Systems team. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t imagine yet. We invent new improvements every day.The packaging and sustainable packaging group develops robotic material handling products that increase the safety and efficiency of our fulfillment operations. Our products are deployed across the Amazon Fulfillment Network, automating material flow to reduce operational costs, increase throughput, and enable consistent quality. Our workcells are integrated into broader solutions for storage, packaging, sortation, and transportation of items and packages.MSP is seeking a Sr. BIE to join a dynamic new data team that provides leadership for concept development, architecture, design and testing of robotics systems and industrial equipment. This is an opportunity to make your mark and shape how the team accesses, utilizes and distributes data that continues to inform critical decision making within the organization. You’ll work closely with Business Intelligence Engineers, Data Scientists, Product Managers, Systems Engineers and more. Key job responsibilities- Write expert-level SQL that extracts actionable insights from some of the world’s largest datasets- Dive deep to help drive key business decisions through data insights and improve a wide range of internal products- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modelling, warehousing and building ETL pipelines- 10+ years of SQL experience- 10+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results- 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.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.

Are you excited about uncovering actionable insight to improve delivery experience? Do you get excited about operating in an ambiguous and fast moving environment? Are you looking for an opportunity to define analytics roadmap, work with cross functional teams, experiment with AWS tech solutions and build decision-driven analytics solution for work that is critical to Amazon’s continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Senior Business Intelligence Engineer (BIE) to make an impact on the Amazon’s Delivery Service Partner (DSP) program.The goal of Amazon’s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!We are looking for an innovative, highly-motivated and experienced BIE who can think holistically about problems to understand how systems work together to identify and execute both tactical and strategic projects. You will work closely with engineering teams, product managers, program managers and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall DSP Experience. You will have an opportunity to lead medium to large scale projects along with owning multiple domain within the team and contributing to analytics roadmap.Key job responsibilities- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs, and helping them solve their problems by leveraging technology.- Work closely with business stakeholders and leadership team to review roadmap and contributing to business strategy and how they can leverage analytics for success.- Manage and execute entire projects from start to finish including stakeholder management, data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations.- Extract, transform, and load data from many data sources using SQL, Scripting and other ETL tools.- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.- Retrieve and analyze data using a broad set of Amazon’s data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.About the teamWe are the core Amazon DSP BI 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.Per the internal transfers guidelines, please reach out to the hiring manager for an informational through the "Request Informational" button on the job page.- 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- 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- 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.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 excited about uncovering actionable insight to improve delivery experience? Do you get excited about operating in an ambiguous and fast moving environment? Are you looking for an opportunity to work with cross functional teams, and build decision-driven analytics solution for work that is critical to Amazon’s continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Business Intelligence Engineer (BIE) to make an impact on the Amazon’s Delivery Service Partner (DSP) program.The goal of Amazon’s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best-in-class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!We are looking for an innovative and highly-motivated BIE who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to DSP programs. You will work closely with engineering & science teams, product managers, program managers, business coaches, capacity planners and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall capacity planning of DSP programs. In this role, you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery, build decision-driven analytics to enable DSP growth and increase DSP capacity flexibility and reliability, improve tooling to scale up capacity planning processes across programs, and extract actionable insight to level up plan accuracy and process efficiency.Key job responsibilities- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs, and helping them solve their problems by scaling data and tech solutions.- Manage and execute analytics solutions end-to-end including project management, data gathering and modeling, problem solving, and communication of insights and recommendations.- Build high quality data architecture and ETL data pipelines using SQL, Scripting and other ETL tools.- Retrieve and analyze data using a broad set of Amazon’s data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.- Partner with scientists to scale and expand science models through model and architecture improvements- Be connected and influential within the Amazon BI and Data Engineering (DE) community. Work with DE and software development teams to enable the appropriate capture and storage of key data points. About the teamWe are the centralized Amazon DSP Analytics team with the vision to build best-in-class analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions org-wide. We believe in promoting and using ideas to disrupt the status quo. In our team, you will have the opportunity to dive deep into complex business and data problems, drive high-impact and large scale data solutions and raise the bar for engineering and operational excellence. We have exceptionally talented and fun loving team members, and we love to share ideas and learnings with each other. - 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- 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- 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.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.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon’s Consumables Category Productivity team is looking for an analytical, driven, and creative leader to drive strategically important operational initiatives through business intelligence and leveraging the power of data analytics.The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships. This role will impact and inform how Amazon executes Consumables businesses across the NA Store. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential.Key job responsibilities• Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.• Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.• Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for category leaders, vendor managers, finance partners, and stakeholder partner teams.• Challenging existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.• Partnering across Consumables teams as well as central teams to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.• Scaling roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.• Understanding the value chain within the broader Amazon.com site experience to inform new insights on customer engagement.• Developing a knowledge repository for Consumables data intelligence as part of an evolving center of excellence that can be referred to outside of US Consumables.- 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- 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.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.

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics (AMZL) Tech SME team is for you. We partner directly with software teams to develop the future of AMZL and manage the delivery of tens of millions of products every week to Amazon’s customers..The Amazon Tech SME team is looking for a customer focused, analytically and technically skilled Sr. Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for playing a key role in our team, building out analysis, tools, and processes that scale Worldwide.The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.Key job responsibilities-Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions.-Partner with Data Engineering and Software-Development Engineers to prioritize and define AMZL data and BI development needs.Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects.-Analyze and visualize large scale geospatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation.-Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.- 5+ 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 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.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 obsessing about our data and think around the corner to transform data into new insights and leverage best in class data products and solutions to make high-judgement decisions ? Are you looking for an opportunity to build data analytics and insights that put people first? The Security Issue Management engineering group, part of Stores Security, is looking for an innovative, passionate, and outcome-oriented Business Intelligence Engineer.What we doThe Security Issue Management team builds solutions that keep Amazon systems and data secure on behalf of the Amazon customer. Our customers range from security engineers who need a comprehensive understanding of Amazon systems and their security state, to service teams who need solutions that make it easy to build and operate secure systems. We use the latest technology, including AWS, to solve security problems at Amazon scale. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to stay ahead of the curve on security and delight our customers with intuitive and effective products.Key job responsibilities- Provides robust BI solutions for complex problems, that are extensible and scalable.- Understand high-level business objectives and continually align work with those objectives to meet needs of business- Refine data strategies that cut across functional teams and make technical trade-off decisions for long term/short-term needs.- Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use- Serve as liaison between the business and engineering team to achieve the goal of providing actionable insights into current business performance, and ad-hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.- Write high quality code to retrieve and analyze data and build data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.A day in the lifeYou will own and contribute to studies that evaluate the customer experience of executing use cases on security issue management services, as well as technology/industry trends and the voice of the customer. You will join an expanding team, leverage your technical and domain skills, and apply a variety of methodologies to drive these studies. You will collaborate with product teams and senior leaders to provide insights and drive improvements that help us achieve our vision to be Earth's Most Customer-Centric Company.About the teamWe are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings to raise the bar in security. Security issue management system is our centralized tool with the goal of becoming the only place our builders need to go to understand and manage their security issues and to drive action on the highest security risk areas of the business as well as for security teams to drive campaigns efficiently and effectively while simultaneously reducing the effort teams spend on security related tasks.Diverse ExperiencesAmazon Security 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 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 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. 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. - Experience writing complex SQL queries- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with data visualization using Tableau, Quicksight, or similar tools- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field with 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience with forecasting and statistical analysis- Experience in Statistical Analysis packages such as R, SAS and MatlabAmazon 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.

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.