Business Intelligence

Amazon’s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Business Intelligence Engineer (BIE) who will be a key contributor and sparring partner, developing analytics and insights for products that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for turning qualitative analysis and observations into diagnostics and recommendations, then you are the right candidate for our team.Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerceKey job responsibilitiesBe a thought leader: Interface with business partners, architect, design, implement, and support BI projects & tools that derive insights and shape important, worldwide business decisions.Dive Deep, Raise the bar and insist on high standards: Recognize and adopt best practices in analysis and reporting, data integrity, test design, analysis, validation, and documentation. Support your leadership team with deep-dives and insights that improve our performance and productivity, so we can serve our customers even better.Deliver Results: Be inspired by the motto of Customer First, use outstanding business acumen, technical and analytical skills to drive real, actionable results.A day in the lifeThe Sr. BIE role will be focusing on Selling Partner Experience Analytics including customer satisfaction metrics, Amazon associate’s performance, Operational metrics and more. This includes metrics measuring new contact channels like Chat and Escalate my Case, but also Global Operation metrics (service level, first touch resolution, average handling time and so on).They will focus on creating actionable insights and recommendations and not just gathering data. They will have passion for data and analytics, be an independent innovator comfortable with ambiguity. They'll have strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment. About the teamSelling Partner Insights and Analytics team mission is to build listening mechanisms to gather frictionless SP feedback, generate insights at scale, and enable teams to prioritize and measure improvement opportunities. Selling Partner Insights and Analytics focuses on surfacing SP sentiment data/insights and connecting our stakeholders to actual SP experiences. The team performs analyses, creates visualizations and develops automated reporting solutions that help drive data driven decision makingBASIC QUALIFICATIONS- Master's degree in statistics, data science, or an equivalent quantitative field ...

At Amazon, we're working to be the most customer-centric company on earth. Customer Service is at the heart of what we do. Are you interested in shaping the future of Amazon Customer Service globally and driving strategic initiatives that shape the future of support for our employees and customers?The Consumer Customer Service Support (C2S2) team is looking for a talented and experienced Business Intelligence Engineer (BIE) to work across Customer Service and other Amazon teams to improve its content management, training, and program management functions. You will be part of a team of analysts responsible for developing and maintaining the reporting infrastructure for C2S2. This includes measuring the efficacy of training, associate facing content, Amazon’s help pages, and strategic program initiatives. As a BIE, you will support both the C2S2 functional teams and the rest of the analyst team to automate, standardize and scale their most complex data tasks.A successful candidate will have a passion for data analytics and a deep knowledge of business intelligence solutions. The individual will have experience working with diverse groups of stakeholders, gaining expertise in their data and metrics, and translating their business needs to technical solutions. The individual will have the ability to work in a fast-paced environment, and a desire to innovate, fail fast, learn, iterate and improve.Key job responsibilities· Work with stakeholders to understand their needs and design reporting and automation solutions that will exceed expectations· Build detailed understanding of CS processes and how they map to data· Work with a variety of data sources and large data sets, extract data using efficient query development and provide a holistic and consistent view of the data· Actively drive automation and scaling of data processes and create self-service tools· Build knowledge of the latest tools and technologies to help deliver flexible and scalable solutions· Partner with data engineering teams to adapt data infrastructure to requirements· Actively manage the timeline and deliverables of projects, anticipate risks and resolve issuesAbout the teamIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- 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 with forecasting and statistical analysis- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

Come build the future of entertainment with us! Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video Global Operations (PVGO) is a team that relentlessly works with partners and is responsible for ingesting content using both partner facing and internal technologies. We obsess over ensuring that every search, discovery and playback interaction with Prime Video is device agnostic, defect free and results in a high engagement experience for Customers. We collaborate with stakeholders across Prime Video to define, refine and uphold Prime Video’s Customer experience, Quality bar and metrics. PVGO plays an essential role at Prime Video, ensuring that the content that powers our vision to be the premier source of global entertainment, is complete and correct.We are a group of entertainment enthusiasts based out of USA, Japan, India, Spain, and Costa Rica; passionate about ensuring all our customers around the globe have access to the content they need, when they need it. We work closely with industry professionals, program and technology teams to ensure world-class coverage of key entertainment content, and proactively address content gaps before our customers notice them. We are looking for an analytical and results-oriented Business Analyst to help shape the future of Prime Video Global Operations. This is an exciting time to join, as we scale our coverage of international content, while maintaining a high bar for timeliness and quality.As a Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into operational health, and develop key KPI's from scratch. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own creation and management of large datasets, reports, dashboards and data pipelines. You will interact with internal program, product owners and technical teams to gather requirements, structure scalable and data-oriented solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytics insights into concrete, actionable recommendations for business or product improvement. If this sounds exciting to you, please read on.Key job responsibilities- Work on data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieve and analyze large sets of data using Excel, SQL, and other data management systems.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Take ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Build and managing related key performance indicators (KPI's) to measure, control, and benchmark reporting processes.- Monitor existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.- Support cross-functional teams on the day-to-day execution of the existent program implementation.BASIC QUALIFICATIONS- 2+ years of business analyst, data analyst or similar role experience- 2+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 2+ years of business or financial analysis experience- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Intermediate skills using SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree or 4+ years of relevant professional experience ...

The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Automation Team. The R2L team that includes rush service and super rural delivery covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD), Rural Super Rural (RSR), and Amazon Today. R2L exists solely to meet the goal of quick, accurate delivery and this is constantly being challenged and changed, adapting to our customer demands and improved. To meet this goal, R2L must remain flexible at all times, adapting with all of the changes and growth that comes our way. As a Business Intelligence (BI) Engineer, your focus will be on process automation, operational insight, and other analytical support to stakeholders for the Sub-Same Day (SSD),Rural Super Rural (RSR) and Amazon Today(AT) Delivery business. The Automation team partner closely with Delivery and the operations teams to automate Program Manager manual process.The ideal candidate will draw upon advanced analytical, problem solving skills, and a passion for building solution towards automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders and technical teams to drive for automation of our operational processes for future innovation. They must be a self-starter, comfortable with ambiguity, and able to think big and be creative to support a rapidly growing business. Your will create solution to automate Program Manager day to day task or process using combination of dashboard, macros, scripts, and SQL. We look for candidates who are excellent communicators, inspiring leaders, self-motivated, flexible, hardworking, and who like to have fun. Key job responsibilitiesThe successful candidate is a seasoned data professional with a strong bias for action, Proficiency with data visualization tools like QuickSight and Tableau, data modeling, ETL (Extract, Transform, Load), SQL, and scripting skills.Own the design, and development of projects to drive key business decisions. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, and dashboards to communicate these insights to the business teams. Successful members of this team collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions.In this role, you will: • Understand business problem requirements • Identify opportunities for automation • Implement solutions to enhance operations facing systems, processes, and toolsA day in the life• Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points• Think creatively to identify opportunities to solve problems using technology-driven solutions• Design and implement the optimal automation solutions to address stakeholder needs• Respond to ad-hoc requests and provide support as needed• Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing• DocumentationAbout the teamThe Rapid and Rural Logistics team manages high-growth specialty fulfillment operations, focused on fast, accurate delivery of unique products. The team needs agile, self-directed individuals with a strong bias for action. The ideal candidate will balance technical expertise in ETL, visualization, and scripting with strong stakeholder skills. You'll work closely with teams to deeply understand their needs, then design and deliver automated solutions driving key decisions and operational improvements. Speed, flexibility, and autonomous decisions are crucial. Bonus qualifications include Python proficiency for data tasks, and AWS experience for implementing robust, scalable solutions - complementing the core role requirements.BASIC QUALIFICATIONS- 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 ...

Come be a part of a rapidly expanding $35 billion dollar global business. Amazon Business is a fast-growing start-up passionate about building innovative solutions and disrupting the status quo. Amazon Business stands at the intersection of tech and retail in the B2B space. As a Business Intelligence Engineer you will be at the forefront of building tools to provide critical insights and analysis used to influence and drive action from business-to-business suppliers and internal partners.Key job responsibilities• Create new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.• Improve auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.• Build insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of working with category teams, vendor managers, finance partners, and other partner teams.• Challenge existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive more scalable execution.• Partner across North America Stores teams as well as Amazon Business teams to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.• Scale roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses• Develop a knowledge repository for B2B data intelligence as part of an evolving center of excellence that can be referred to by North America Stores teams.A day in the lifeYour day will balance between meeting with business stakeholder to review business requirements for new product and tools or gaining feedback from users of currently launched tools or reports. You will spend most of your time building and enhancing tools and conducting foundational analysis on data sources and system inter-connectivity. About the teamThe Amazon Business Category Business Development (CBD) team is a high energy and collaborative team. We take pride in working hard to improve the procurement experience for professional customers on Amazon Business. We foster an environment of growth through personal and professional development. The team supports one another and a culture of experimentation and innovation, learning through our successes and our failures. We strive to be a center of excellence for efficient business operations and a place where people can growth both personally and professionally. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets ...

At Amazon, we are committed to and invested in Sustainability because it’s a win all around – it’s good for business, the planet, our customers, and our communities. Our Global Corporate Sustainability team manage our social and environmental impacts for Amazon’s corporate offices worldwide. We drive solutions that enable our Amazonians and our business partners within the Global Real Estate and Facilities organization to become more sustainable. We are looking for Business Intelligence Engineer that excels in think big and bias for action to support our sustainability team. In this role you will create the analytics architecture to support our sustainability initiatives across our business including tracking our carbon, waste and water footprint and creating new metrics to embed sustainability into our business functions. The foundational work that you take on will inform strategic, high-visibility initiatives. This role requires both the technical expertise and program know how needed to start something new. In this role you will work closely with program managers, operations teams, sustainability experts and business leaders to set up identify opportunities for improvement and shape strategic recommendations. A successful candidate will have a deep knowledge of business intelligence solutions and possess excellent analytical abilities, and have the ability to work with technology, program, and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to help Amazon make the right decisions in sustainability. They will understand sustainability in buildings to be able to source data and develop analysis to identify and measure progress. Key job responsibilities•Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business. Systems might be customer internal-built, or a SAAS solution. •Design and develop the backend data infrastructure that provides value immediately and scales.•Dive deep into our carbon footprint reporting sources, identify gaps and create mechanisms to track ongoing carbon metrics to deliver into the organization.•Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.• Be hands-on with ETL to build data pipeline to support automated reporting.•Serve as liaison between the business and technical teams 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. Where data does not yet exist, develop the system it will be collected and roll out solutions. •Build various data visualizations to tell the story of trends, patterns, and outliers.•Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.BASIC QUALIFICATIONS- Bachelor’s degree in Computer Science, Engineering, Mathematics or related experience.- 6+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.- 6+ years of experience in data mining and data-set preparation using SQL.- 6+ years of experience with Tableau Desktop or other relevant data visualization software. ...

The AdsEcon Team is looking for an Applied Scientist II to help and be part of a team to put cutting edge causal inference research into production.AdsEcon is a cross-functional team of Economists, Applied Scientists, Data Scientist and Engineers, with the charter of developing moonshot science solutions for Amazon Advertising. We favor projects that are ambitious, ambigous and risky. We use a combination of econometrics, machine learning, and experiments to build disruptive products for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high level leaders.Key job responsibilitiesIf you have a experience with building causal inference solutions at scale this is the job for you. Key responsibilities of Applied Scientist include the following:- Partnering with economists and senior team members to drive science improvements and implement technical solutions at the cutting edge of machine learning and econometrics- Design, implement, prototype, deploy, and maintain large-scale Causal/ML models. Models are often deployed in partner's teams code base, requiring good communication skills and collaborative spirit.- Build interpretable statistical models and analyze experiment results to answer questions that will drive high impact decisions across Amazon.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

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

Amazon Business Customer Support (ABCS) is looking for a Business Intelligence Engineer (BIE) to help build next generation metrics and drive business analytics that have a measurable impact. This role is inherently cross-functional. You will work closely with finance and engineering teams, as well as with leadership across ABCS, Amazon Customer Service, and Amazon Business (AB).As a BIE, you will develop strategic reports, design User Interface (UI), and drive projects that support the ABCS team and influence the decision making of the Worldwide Operations team. You will continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate and accelerate analytics. You will work with a team of analytics professionals who are passionate about using machine learning to build automated systems and solve problems that matter to our customers. Your work will directly impact our customers and operations.A successful candidate will have a strong understanding of different businesses and customer profiles, as well as the underlying analytics. Candidates for this role should have the ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business. Members of this team are challenged to innovate and use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to complex problems, this may be the opportunity for you!Key job responsibilities- Scope, design, and build database structure and schema to enable ABCS team members to self-serve.- Create data pipelines using extract, transform, and load (ETL) connections/SQL queries to bring new attributes into the ABCS master database.- Retrieve and analyze data using a broad set of Amazon’s data technologies and resources.- Pull data on an ad-hoc basis using SQL queries.- Design, build, and maintain automated reporting, dashboards, and analyses to enable our team to focus on solving ambiguous problems.- Conduct deep dives to identify root causes of pain points and opportunities for improvement.- Work closely with Certified Specialist Business Intelligence (CSBI) teams to ensure ABCS uses globally standard metrics and definitions.- Collaborate with finance and business partners to gather data and metrics requirements. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamABCS Analytics supports all the teams within ABCS, partner teams within AB and CS, and other support teams for any analytical and data requirements. We are responsible for maintaining the ABCS databases, data pipelines from AB data sources to the ABCS datasets. We create and maintain ABCS Reporting Suite and ensure that all the ABCS team members are enabled with the right data and can self-serve to drive data driven decisions. BASIC QUALIFICATIONS- 5+ years of SQL experience- 7+ years of professional or military 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 ...

How often have you had an opportunity to be a member of a team that is tasked with solving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role on the Amazon Defect Elimination Analytics team. This team drives Amazon towards a defect-free customer experience by building technology that rapidly identifies defects, associates them with the information required to resolve the root cause, and prioritizes the multitude of improvement opportunities based on business and customer needs. To continue expanding our defect elimination program, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE).The Business Intelligence Engineer will partner with Software Developers, Data Engineers, Research Scientists, Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and model development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team spirited and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain tremendous experience with the latest in big data technologies as well as exposure to statistical and Natural Language modeling through collaboration with scientist on global issue detection models and development. Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/ML teams to consult, develop and implement KPI’s, automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!”Benefits Summary:“Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's Degree ...

Amazon Web Services is seeking an extraordinary Data Engineer to join the AWS Data Platform team.Our teams take on some of the hardest scalability, performance, and distributed computing challenges the world. We process trillions of events per month using stream processing techniques (Kinesis), process billions of line items via map reduce (EMR) and handle artifacts through the latest in database technologies (DynamoDB and Aurora). We process big data and provide tools for customers to interactively understand their bills. We also provide the analytics that let customers handle billions of dollars of IT usage and spending. Because we sit at the nexus of all AWS services and interact directly with end-customers, we also work closely across all AWS teams to ensure that we offer a great customer experience. The AWS Data Platform team's vision is to help customers handle the full life cycle of data at all levels of granularity, simplify data collection, integration, and aggregation of AWS data assets, and provide services (compute, storage, security) to access datasets at scale. We collect and process billions of usage and billing transactions every single day into actionable information in the Data Lake and make it available to our internal service owners to analyze their business and service our external customers. We are truly leading the way to disrupt the data warehouse industry. We are accomplishing this vision by bringing to bear Big Data technologies like Elastic Map Reduce (EMR) and Spark in addition to data warehouse technologies like Redshift to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services. You will have the ability to craft and build AWS' data lake platform and supporting systems for years to come. You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc.We offer flexibility in working hours and encourage you to find your own balance between your work and personal life.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with Apache Spark / Elastic Map Reduce ...

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.BASIC QUALIFICATIONS- 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 ...

Amazon Freight is building a disruptive transportation product with the vision of redefining shipping for its customers. The goal is to develop easy-to-use, reliable and transparent transportation services that beat all existing shipping alternatives for our customers. In doing this, Amazon Freight is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services. To help us succeed in this large endeavor, we are looking for entrepreneurial individuals who will organize, execute and deliver key features to the Amazon Freight product portfolio. We are looking for a dynamic, self-starting Senior Business Analyst to guide pricing strategy and business outcomes with analytics and data-driven insights. You will be working in one of the world's largest and most complex data warehouse environments. The insights you generate will allow us to prioritize our product roadmap, inform business and pricing strategy, and improve the customer experience and bottom line performance. You will develop statistical models that help understand underlining drivers of the business and optimize our prices. You will collaborate with leaders from product, research science, engineering, sales, finance, and more. The position requires a candidate who can work cross functionally to develop and define key business questions, build datasets and analytical frameworks which answer those questions, and synthesize those insights into actionable recommendations to audiences of varying technical aptitude. This position will be part of the Worldwide Transportation strategy team, which has global responsibility.Key job responsibilities- Develop a deep understanding of our customers and supply chain- Deep dive into large data sets to answer key business questions using SQL, Excel, and other data management systems- Systematically identify data sources, perform analysis and build data pipelines to influence product roadmaps and business strategy- Communicate complex insights to stakeholders, both verbally, in writing and through visualization and dashboards- Perform complex data research to identify opportunities to optimize pricingBASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

WW Ops Finance S&A team is seeking an experienced Senior BI Engineer with excellent ETL skills along with analytical abilities. Would you like to be part of team driving business intelligence strategies for one of the largest supply chain in the world and helping improve delivery experience for billions of Amazon customers worldwide? Come join us!Key job responsibilitiesThe ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's supply chain. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion. You need to be able to convey your ideas via clear and concise verbal and written communications. - Interact with business customers, gather requirements and deliver accurate, easy to use and scalable Business Intelligence solutions in AWS (Redshift, EMR, Glue, S3 etc), Quicksight/Quicksight Q, Python/R, and other Amazon proprietary BI tools - Build ETL, data pipeline jobs, appropriate aggregations, and automated delivery in SQL, Python/R, shell script. - Design data models on varied database platforms like Redshift, MySQL or object based data stores. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data set. Not afraid to deep dive in big data.A day in the lifeWithin this role you will have unique opportunities to work alongside engineers, product managers, data scientists, program managers and finance leaders to help build next gen analytics and data driven reporting supported via one of the largest finance data warehouses and/or datalake. You will be helping scale the supply chain cost allocation/analytics which spans across multiple geographies of North America and Europe. You will work closely with product managers to design and implement new cost allocation strategies, work with engineers across the transportation network to assess impact of new program rollouts & help build operational and anomaly detection reporting solutions. Amazon has a culture of being builders and you will get to use the latest technology stack offered via AWS and internal amazon tools to help scale big and fast. About the teamWW Ops Finance S&A (Standardization and Automation) is the central Data and BI team serving the Amazon supply chain and transportation finance organization. Our BI team owns multiple single source of truth data assets that are keys to initiatives to drive supply chain optimization and improve end-to-end profitability of Amazon store business.BASIC QUALIFICATIONS- 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 ...