Seattle

Amazon’s International Seller Services organization is seeking an experienced 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 International Seller Growth 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.About the teamInternational Seller Growth Org enables millions of sellers worldwide to list their products for sale to Amazon customers. Sellers offer hundreds of millions of unique products and are a critical part of Amazon's vision to offer the Earth's largest selection and lowest prices.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 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 ...

Business Intelligence Engineer Come build the future as a Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance be-tween your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).- Experience with data visualization using Tableau, Quicksight, or similar tools.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

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.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.We are calling on engineers who wants to contribute to a sustainable future through technology. Join us in developing solutions for renewable energy portfolio and reduce carbon footprint of our materials in data centers.In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, and last year, we reached 85% renewable energy across our business, and are on a path to power our operations with 100% renewable energy by 2025.We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. To learn more about AWS’s water+ commitment visit: Water Stewardship.Come join the team that is building the tools and innovative technology to manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farmsKey job responsibilitiesOur Business Intelligence team develops large scale reporting tools, analytics, and supporting analytic/reporting data infrastructure for clients in energy, renewable resources, sustainability, and water sectors. They build high visibility tools used by project managers, data/sustainability scientists, analysts, and the AWS leadership team to make data-driven business decisions that directly impact AWS’s net-zero carbon and 100% renewable goals.About the teamWhy AWSAmazon 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.Diverse ExperiencesAmazon 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.Work/Life BalanceWe 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 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 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.BASIC QUALIFICATIONS- 4+ 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 ...

Core Shopping (CS) Analytics turns disparate, raw data into actionable insights that improve every customer’s ability to securely discover, evaluate, and purchase products and services across the Amazon store. We own the analytics for the Navigation, Homepage, Inspire, App First, Detail Page, Cart, Checkout, Add-to-Cart, and Address experiences. Key job responsibilitiesYou are an Analytics subject matter expert for the Buying Experience team, presenting the best and most relevant product/offer evaluation information for every customer’s shopping mission. You will own the core datasets to understand how customers engage with core features on Detail Page to evaluate a product. You will develop a framework to understand the levers that drive a successful experience and build automated reporting with actionable insights for stakeholders to improve it. You will deliver in-depth analysis and recommendations to drive the product roadmap, generating incremental business value. You will partner with Science teams to improve relevance. As the chief evangelist, you will drive adoption of your dataset and mental model across the Consumer organization.A day in the lifeWe build in 5-week Sprints with 1 week for planning and 4 weeks for execution. Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a self-directed Learning Day. Over the 4 Execution Weeks, we have regular stand-ups and a mid-sprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets, conducting analysis, and pushing learnings to customers.About the teamToday, we empower 500+ Builders directly and 100+ unique partner teams via our ‘Source of Truth’ datasets, self-service dashboards/gits, scheduled reports, and custom metrics consumed for cross-store evaluation. In 2023, we supported new experiences end-to-end from logging to reporting/self-service and continued maturing our foundational service offerings to enable more bandwidth for insight generation. BASIC QUALIFICATIONS- 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 ...

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.Join us as a part of the talented Paragon Analytics Team of in the SPX Org and become a contributing member of a team that is redefining the future of support and experience across multiple tenants. With access to vast amounts of data, cutting-edge technology, and a diverse team of talented individuals, you will have the opportunity to make a meaningful impact on defining how customers engage with our product and work alongside of the product team to make a measurable impact. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.As a BIE II, you will help develop an insightful platform provide insights from Paragon as a product, influence the product roadmap and contribute to the “CMS Insights Suite” of actionable datasets and metrics that support tenants covering both retrospective and near real time reporting use cases.The BIE II will collaborate with the product and tech teams across Paragon and it's partners teams to gather requirements, structure scalable and performant data solutions, and gain a deep understanding of key datasets. A successful candidate will be highly driven, self starter and should have passion for data. The candidates is expected to be expert with SQL with working knowledge of Python and continually seek opportunities to inject advanced analytical,(statistics and science) based techniques.Key job responsibilitiesHere are key job responsibilities for a Business Intelligence Engineer role:BI and Data Analytics- Lead complex data analysis projects to identify opportunities for improvement and optimization across the organization- Develop and implement innovative BI solutions to create insights into the product capabilities and performance as well as drive optimal operational efficiencies by gathering data from various sources.Technology Integration and Optimization:- Optimize the performance, scalability, and reliability of the organization's data infrastructure and reporting systems- Engage in measuring data quality, A/B testing launching and managing metric catalog and curated data data layer- Ensure the integrity, security, and governance of the organization's data assetsStakeholder Engagement and Reporting:- Communicate data-driven insights and recommendations to the stakeholders - Collaborate cross-functionally with teams across Paragon to drive strategic goals through data driven decision makingTeam Development and Mentorship:- Mentor and guide junior team members in the application of advanced data analysis, business intelligence, and process improvement methodologies- Foster a culture of continuous learning and process improvement within the teamBASIC QUALIFICATIONS- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- 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- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- 4+ years of experience in Data/BI space ...

Amazon internships are full-time positions, and interns should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.By applying to this position, your application will be considered for all Business Intelligence Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.Start dates for our internships in this posting include the following period:1. Summer (Starts May/June 2025)Please review the following page for information on Amazon University Talent's recruiting timeline and additional FAQs: https://techengamazon.splashthat.com/. Key job responsibilitiesAs a Business Intelligence Engineer intern, you will/may:• Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data• Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule• Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)• Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible• Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders• Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutionsA day in the lifeDo you enjoy translating data into actionable insights? Are you excited by the opportunity to troubleshoot features and products at the world's most customer-centric company? Are you passionate about mining data, developing models, using statistical and visualization techniques, and helping leaders make data-driven decisions? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet?If this describes you, consider joining us as an intern as Amazon is looking for Business Intelligence Engineer interns to join one of our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission-critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting.We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.BASIC QUALIFICATIONS- Experience with data querying or modeling with SQL- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Currently working towards a Bachelor’s Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with a conferral date between October 2025 – December 2028. ...

As a Business Intelligence Engineer on the Finance team supporting Amazon Marketing Cloud, you'll play a critical role in unlocking data-driven insights to power the next generation of Amazon's advertising solutions. In this highly visible position, you'll tackle complex business challenges, design scalable data models, and build cutting-edge analytics - all with the goal of delivering innovative, impactful solutions. With a deep understanding of SQL and data visualization, you'll be a significant contributor who can consistently deliver high-quality, maintainable work with limited guidance. If you're a self-starter who thrives on solving ambiguous problems, loves collaborating with cross-functional teams, and is passionate about leveraging data to drive business strategy, this could be the perfect role for you.Key job responsibilitiesThe ideal candidate will be responsible for identifying and addressing complex business problems and opportunities to improve Amazon Marketing Cloud systems, processes, and tools. They will implement data-driven solutions by designing efficient data models and developing SQL/Python scripts, balancing customer requirements with technological constraints. The successful candidate will set data modeling standards and best practices, while also uncovering insights through statistical analysis. It will be crucial to collaborate closely with business customers, cross-functional teams, and senior leaders to refine requirements, solve problems, and deliver new solutions. When the business requires more granular data access, the candidate will help minimize bottlenecks and advise customers on self-service options. They will also own key metrics, prepare and automate reporting for business reviews, and support executive decision-making with data insights. Essential skills include a bias for action, strong attention to detail, the ability to learn quickly, and the capacity to adapt in a fast-paced, changing environment. The candidate must insist on high standards, make sound decisions, exhibit ownership and accountability, and apply appropriate technologies following best practices.A day in the lifeAs a Business Intelligence Engineer for Amazon Marketing Cloud, your days will be a dynamic mix of technical and collaborative work. You'll partner with product, finance, and engineering teams to design scalable data solutions powering new advertising innovations. You'll also analyze KPIs, forecast key metrics, and uncover insights to inform critical business decisions - including preparing and automating reporting for regular reviews.No two days will be the same, but you can expect a steady stream of new challenges, high-visibility projects, and opportunities to make a real impact. If you thrive on solving ambiguous problems, have familiarity with Spektr tables, and drive data-driven innovation, this role is sure to engage you.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 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 ...

We are looking for an exceptional Senior Business Intelligence Engineer to help build out actionable and insightful metrics for both internal and external stakeholders. The goal of these actionable insights is to give our internal stakeholders a holistic view in to how policies connect to our customers and to help our customers better understand their advertising on Amazon. To succeed in this role, you will have strong technical acumen and extensive experience in developing reporting, BI, and data warehouse solutions. The ideal candidate will be a self-starter, comfortable diving deep, and making data driven decisions with a strong customer focus. Key job responsibilities· Develop a deep understanding of Advertising's vast data sources and know exactly how, when, and which data to use to solve particular business problems.· Conduct deep dive analyses and translate requirements into effective data visualizations and analytical solutions· Imagine and develop new ways to present data that adds value and insight· Proactively identify projects and analyses that help improve Ads Customer Trust, including defining metrics and goals.· Partner closely with other Tech, Product and Data engineering teams on the day-to-day execution of analytics, projects and initiatives About the teamCustomer trust is everything at Amazon. Our Advertising Trust organization develops policies, and builds the systems, which ensure customer trust in advertising. With a growing advertising technology business, and hundreds of thousands of active self-service advertisers across the globe, this organization is vital to ensuring we can scale while maintaining and ensuring strong customer trust. Leveraging AI, we build systemic solutions that ensure advertising adherence to the complex regulatory, legal, regional, cultural and customer expectations in over 30 countries.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 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 Health Services (AHS) is on a mission to make it dramatically easier for customers to find, choose, afford and engage with the services, products, and professionals they need to get and stay healthy. We use design, service and technology to provide the best possible customer experience and change the way people think about healthcare. Our team owns Marketing for all of Amazon Health Services (AHS) along with all of the data that powers our optimization and valuation services. We are excited to help customers engage in a new Health Care paradigm and make truly lasting impact.Our team is responsible for Marketing across Amazon Pharmacy, Amazon Clinic, OneMedical, and HCP. We are hiring BIE that will help develop the foundations of the Amazon Health Services Marketing analytics including customer valuation, attribution, and tools to help optimize our channels. The BIE will be responsible for creating tools and analytic insights to both better understand our customer’s behavior across AHS and improve our decision making tools in Product and Marketing. The AHS business is growing rapidly, and our customers needs are ever-evolving. You will be at the center of all that we do for our customers within AHS and have an impact on our customers' experience. You will be able to point to experiences within AHS that you directly contributed to make happen.We need an expert at deep data diving statistical analysis of designed experiments, and structured problem solving to understand and evaluate the opportunities to grow the business. Her/his analysis and solutions will guide our program optimization,financial planning, and execution strategy. This position has high levels of exposure to senior members of AHS.The successful candidate will be an expert with analytical design, SQL, ETL, dashboarding and data storage extraction tools and optimization. The candidate will need to effectively communicate the designs, hypotheses, analytical and test results, insights, and suggested action items.#everydaybetterKey job responsibilities• Work with the various stakeholders across the AHS organization to understand business drivers, goals and actionable outcomes of large scale customer experiences. • Construct and execute robust analyses that lead to actionable insights for Product and Marketing leaders to act upon. Work independently to identify objectives and problem solve alternative ways to efficiently execute.• Design, execute, and manage the profiles to execute the analyses with the latest data management and statistical tools and languages (e.g. SQL, ETL, Quicksight, AWS Redshift, Redshift Spectrum, S3, Python, R)• Design, implement, and support tools that can provide structured access to large datasets across the entire AHS organization and beyond. • Employ data mining, segmentation, and other analytical techniques to capture important trends in the customer base. • Model data and metadata to provide product and marketing insights • Effectively communicate the inisights and suggested action items to senior leadership • Participate in strategic and tactical planning discussions interface with business customers, gathering requirements and delivering complete reporting solutions • Develop interactive dashboards, reports, and analysis templates using AWS and open source tools.About the teamAHS Performance Marketing owns driving new customers to all Amazon Health businesses including OneMedical, Amazon Clinic, and Amazon Pharmacy. We look to automate optimization for each channel and are constantly looking for scale. We are heavily data driven and Customer Obsessed and are excited to partner with Data Engineering and Marketing leaders to unlock customer behavioral signals to best serve our customers. We are a team that does not take ourselves too seriously, other than the work to help customers. We hold a high bar for our experiences and strategies. Please reach out if you'd like to learn more. 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 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 Health Services (AHS) is on a mission to make it dramatically easier for customers to find, choose, afford and engage with the services, products, and professionals they need to get and stay healthy. We use design, service and technology to provide the best possible customer experience and change the way people think about healthcare. Our team owns Marketing for all of Amazon Health Services (AHS) along with all of the data that powers our optimization and valuation services. We are excited to help customers engage in a new Health Care paradigm and make truly lasting impact.Our team is responsible for Marketign across Amazon Pharmacy, Amazon Clinic, and OneMedical. We are hiring BIE that will help develop the foundations of the Amazon Health Services Marketing analytics including customer valuation, attribution, and tools to help optimize our channels. The BIE will be responsible for creating tools and analytic insights to both better understand our customer’s behavior across AHS and improve our decision making tools in Product and Marketing. The AHS business is growing rapidly, and our customers needs are ever-evolving. You will be at the center of all that we do for our customers within AHS and have an impact on our customers' experience. You will be able to point to experiences within AHS that you directly contributed to make happen.We need an expert at deep data diving statistical analysis of designed experiments, and structured problem solving to understand and evaluate the opportunities to grow the business. Her/his analysis and solutions will guide our program optimization,financial planning, and execution strategy. This position has high levels of exposure to senior members of AHS.The successful candidate will be an expert with analytical design, SQL, ETL, dashboarding and data storage extraction tools and optimization. The candidate will need to effectively communicate the designs, hypotheses, analytical and test results, insights, and suggested action items.#everydaybetterKey job responsibilities• Work with the various stakeholders across the AHS organization to understand business drivers, goals and actionable outcomes of large scale customer experiences. • Construct and execute robust analyses that lead to actionable insights for Product and Marketing leaders to act upon. Work independently to identify objectives and problem solve alternative ways to efficiently execute.• Design, execute, and manage the profiles to execute the analyses with the latest data management and statistical tools and languages (e.g. SQL, ETL, Quicksight, AWS Redshift, Redshift Spectrum, S3, Python, R)• Design, implement, and support tools that can provide structured access to large datasets across the entire AHS organization and beyond. • Employ data mining, segmentation, and other analytical techniques to capture important trends in the customer base. • Model data and metadata to provide product and marketing insights • Effectively communicate the inisights and suggested action items to senior leadership • Participate in strategic and tactical planning discussions interface with business customers, gathering requirements and delivering complete reporting solutions • Develop interactive dashboards, reports, and analysis templates using AWS and open source tools.About the teamAHS Performance Marketing owns driving new customers to all Amazon Health businesses including OneMedical, Amazon Clinic, and Amazon Pharmacy. We look to automate optimization for each channel and are constantly looking for scale. We are heavily data driven and Customer Obsessed and are excited to partner with Data Engineering and Marketing leaders to unlock customer behavioral signals to best serve our customers. We are a team that does not take ourselves too seriously, other than the work to help customers. We hold a high bar for our experiences and strategies. Please reach out if you'd like to learn more. 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 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 ...

Do you want to reinvent shopping on Amazon? With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse. It's time to make purchasing with the help of Alexa trivially easy, and delight customers at the level of a knowledgeable, personal shopping assistant that helps them save time and money. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop. Alexa Shopping BI Team's vision is to empower Alexa Shopping teams by (i) providing BI capabilities that support measuring, understanding and assessing key inputs / outputs related to business decisions and (ii) uncovering actionable insights to address challenging business questions. In this role you will: - Work closely with Alexa Shopping Product Managers, Software Development Managers and Software Development Engineers to gather requirements and help identifying the right technical artifact, while ensuring prioritization and transparent communication.- Work closely with Data Engineering to ensure high quality instrumentation that allows to analyze trends and metrics at the most granular level.- Build scalable solutions, using analytics tools and languages (notably SQL), to provide data and KPIs to inform business decision through streamlined reporting and visualization/reporting tools such as Quicksight.- Collaborate with stakeholders to create additional metrics and processes based on program changes and customer requirements.- Perform quantitative analyses to uncover areas of opportunity and present written business recommendations that will help shape Alexa Shopping product roadmap.- Help defining and analyzing A/B testing, ensuring statistical significance and educating stakeholders to properly interpret results.- Collaborate with finance as a leader of ongoing analytical support.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 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 ...

Amazon seeks a business intelligence engineer to be a key partner for the Amazon Advertising business, with a range of products offerings for advertisers. We’re looking for a top technical and analytical mind capable of extracting value out of our large and disparate data sets. You will influence the direction of the business by leveraging our data to deliver insights that drive decisions, evolution of our products and the way they fit into Amazon's ecosystem. Additionally, you’ll help streamline and simplify the metric reporting needs for our operating cadences such as daily, weekly and monthly business reviews.Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to working with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and the ability to thrive in a fast-paced, dynamic environment. Key job responsibilitiesKey Responsibilities Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team Design and influence operational best practices for reporting and analytics to enable the team to scale Prepare and deliver business reviews to the senior management team regarding progress and roadblocks Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Participate in strategic & tactical planning discussionsBASIC 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 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 ...

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 ...

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.In this role, you will contribute to the analytics and insights efforts for the marketing attribution project for Amazon Music. You will develop the analytics roadmap and direction for the project, working closely with marketing stakeholders and other Amazon partners to deliver self-service solutions, insights, learning white papers and models to advance our analytics and science offerings. You will also be part of a full stacked team of business intelligence engineers, data engineers, and scientist whom you will be able to collaborate with and learn from. The ideal candidate must be willing to effectively contribute to analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.Key job responsibilities• Contribute to the analytics and insights efforts for the marketing attribution project for Amazon Music.• Work as the internal analytics consultant for marketing teams and collaborate on long-term strategy together.• Define and deliver reporting and visualization that supports the analytical needs of internal business leaders.• Drive self-service solutions for senior business stakeholders informing marketing investment decisions.• Use analytical insights to help increase business and team effectiveness against key strategic goals.• Build a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media and entertainment businesses.• Partner with analytics and science teams across Amazon entertainment and subscription businesses.• Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions.BASIC QUALIFICATIONS- 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 of analyzing and unterpreting data with Redshift, Oracle, NoSQL etc. experience ...

Amazon Renewed is the home of high-quality pre-owned and refurbished products in thirteen marketplaces (NA3, EU7, IN, AU, JP) with supply from qualifying 3P Sellers, Retail Vendors and Amazon. We aspire to transform how Customers discover and buy high-quality pre-owned products by providing a Customer experience that combines the trust and convenience of buying New with the savings of buying Used. We earn Customer trust by setting a high and consistent bar for like-new product quality, qualifying and performance managing Suppliers, and attaching an extended warranty to all Renewed products. We are seeking a self-driven, analytical Sr. Business Intelligence Engineer with strong business acumen to help grow the global Renewed business through data driven invention and simplification. This is the perfect role for anyone who is excited about leveraging the latest in data analytics to raise the bar on a growth program’s capabilities. Our ideal candidate should be comfortable sitting at the intersection of data engineering, business intelligence, and business analysis, and will be asked to deliver across all three vectors. He/She should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. He/She will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, and deliver information about our leaders that we might never have considered. This position represents an exciting opportunity to be a part of a dynamic and high paced environment. Key job responsibilities• Manage Data Structure –Research and source new data opportunities. Partner with other BIEs across NA Stores (and beyond) to understand present sources and connect to new sources of data. Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable new capabilities or improve existing ones.• Deliver Data Insights – Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics. Manage reporting development processes to ensure we build the right tools at the right time. Design, implement, and support reporting platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users). • Influence Leadership & Peers – Display analysis and insights in front of influential audiences in a way that efficiently and effectively gets them to understand key aspects of what the business is trying to accomplish. Additionally, be connected and influential within the Amazon BIE community.• Manage Diverse Stakeholders – Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions. Interface with business customers, gathering requirements and delivering complete reporting solutions. Participate in strategic & tactical planning discussions.• Ad Hoc Analysis – Write SQL queries to pull data from disparate databases so it can be analyzed. Conduct data analysis to support needs of the Renewed team. 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 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 ...

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.Do you want to be an integral part of the world's transition to the cloud? The AWS Analytics and Data Solutions (ADS) team is seeking for a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team.Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.The business intelligence engineer must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you! Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business. - 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 analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations. - Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.About the teamWhy 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.Diverse ExperiencesAmazon 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.Work/Life BalanceWe 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 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 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.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 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 Web Services is seeking a Senior Business Intelligence Engineer for Infrastructure central finance (ICF) team. As an Amazon Senior Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with finance, software engineers, data engineers and business analysts.• You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities; build solutions to have maxi-mum scale and self-service ability by stakeholders• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, vali-dation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- 7+ years of professional experience- 5+ years of SQL experience- Proficient in theories, experimental design and statistical a concept for deriving insights form large – scale data analysis- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Sys-tems, or a related quantitative field. ...

At Amazon, we're on a mission to make Kindle the world's favorite way to read. We set audacious goals and are looking for an experienced Business Intelligence Engineer to join our Reader Analytics team and help us reach and exceed them.We are seeking an analytical, results-oriented, and customer-focused Business Intelligence Engineer to develop business metrics and generate insights that will inform our strategy and user experience. In this role, you will lead complex data initiatives and high-visibility projects, provide actionable insights, and partner with senior stakeholders across the Kindle Experience organization to set the direction for Kindle's data-driven initiatives. Your insights and solutions will drive key decisions affecting millions of readers worldwide.Key job responsibilities* Analyze complex data to tell the story of business trends and performance patterns, and outliers through clear documentation and rich visualizations* Build solutions and data visualizations to effectively communicate business trends and performance patterns* Lead complex, high-impact data analysis projects to identify opportunities for product and business improvements* Write high-quality, optimized SQL to retrieve and analyze data from relational databases (e.g., Redshift, MySQL, S3)* Collaborate with cross-functional teams to design and implement ETL data pipelines for processing billions of records* Create user-friendly, repeatable reporting solutions and self-service dashboards to minimize ad hoc requests* Define and develop business-critical metrics, reports, and key performance indicators* Drive seamless data reporting and insights to enable data-backed decision-making in MBRs/QBRs/OP1 discussionsA day in the life* Work with stakeholders to understand and design analytical solutions on major projects* Seek opportunities to streamline existing process and automate for efficiency* Attend team standup to go over existing development, blockers and help troubleshoot issues* Continue to adopt new technologies that benefit businessBASIC 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 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 ...

Are you driven by the excitement of unraveling intricate data puzzles? Does your DNA resonate with collaborative problem-solving? Do you thrive on witnessing the ripple effects of your contributions in the larger scheme of things? If you've nodded along to any of these questions, welcome to Clarity team! We're not just a team; we're a dynamic cohort of engineers dedicated to leveraging cutting-edge innovations for Amazon's PXT Business Analytics tools and software. Together, we confront tangible challenges head-on, poised to revolutionize customer experiences in unforeseen ways. Every day, we embark on a journey of invention, pioneering fresh solutions that shape tomorrow's landscape.Our mission is clear: to harness the power of people data and empower PXT and people leaders to make decisions that steer Amazon towards its goal of becoming Earth’s Best Employer. We specialize in building features that streamline data gathering and analysis for PXT users, freeing up more time for action and removing barriers for Amazonians.We are currently seeking a talented and motivated Business Intelligence Engineer to lead the design, development, and testing of data pipelines and a centralized data store for people metrics data. Within the PI data services team, you will champion frameworks that empower our internal customers to seamlessly create data pipelines and ETL workflows. The ideal candidate possesses a robust understanding of data modeling concepts, complemented by a foundational grasp of Data Viz. Continual acquisition of expertise, iterative approaches, and adaptability are key facets of this role. We seek individuals deeply committed to pragmatic problem-solving and unafraid to pioneer new territories. Your ability to craft extendable designs and maintainable technical solutions while keeping long-term visions in focus will be paramount. If you can dream it and justify it, we're ready to explore it together. Join Clarity, where we equip you with the tools and encouragement to co-create in an environment that's not just rewarding and fulfilling, but also incredibly fun.Key job responsibilities- Design and build business critical, highly available data pipelines in a stable, low cost model.- Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership.- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.- Monitor metrics, analyze data and partner with internal teams to identify process, system improvement opportunities and come up with BI solutions.- Internalize our customer challenges and derive creative solutions which apply new and innovative technology.- Work directly with customers to integrate new data types, equipment, and incorporate feedback.- Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights- Apply best practices including coding standards, code reviews, source control management, agile development, build processes, and testing.- Actively support and foster a culture of inclusion.A day in the lifeSuccessful candidate would have extensive experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience.About the teamOur mission is to harness the power of people data to empower PXT and people leaders to make decisions that help Amazon become the Earth’s Best Employer.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- 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 with data visualization using Tableau, Quicksight, or similar tools- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

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.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 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 ...