Business Intel Engineer

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) Plan- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's Degree- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization.The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management. You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization. You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements. Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.Key job responsibilities- Passion for storytelling through the visualization of data. We are looking for someone who obsesses about the user experience and who excels in driving business outcomes through the dashboards they develop. - Experience with Tableau or similar visualization/dashboarding platforms like PowerBI, QlikView, Google Charts, Amazon QuickSight, etc.- Moderate to Advanced SQL skills. Skill with aggregate functions, joins between three or more data sources, window functions, and query optimization.- Experience in building presentation layers for reporting dashboards in SQL. - Ability to design and build tables for staging and presentation, outside of the visualization software, in AWS Redshift or other similar Data Warehouse (DW) platform. - Knowledge and understanding of data modeling and data design, e.g. fact and dimension tables, snowflake and star schema, etc.- Experience in building automation to extract data from a Data Lake/Data Warehouse into visualizations. - Optimizing large volumes of data through organization of building views and tables with business metrics and KPIs, and creating scheduled, recurring jobs to load data into the visualization environment.- Excellent communication skills, verbal and written.- Experience leading projects, interacting with customers and stakeholders to deliver successful dashboard products.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. - 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of SQL and data warehousing concepts- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with Airflow DAGs for ETL- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with forecasting and statistical analysisAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Come and become part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo developing innovative selection, pricing and operations solutions to help business customers thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business Flywheel Inputs Science and Analytics team is looking for an experienced Business Intelligence Engineer to excel at pricing, selection, forecast and optimization data solution. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Flywheel Inputs Science team owns the science and analytics for key AB problems including price setting, selection additions and operations optimization. Amazon Business is a fast growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history.The ideal candidate will have outstanding leadership skills, proven ability to develop, enhance, automate, and manage tech and data solutions from end to end. The ideal candidate will have data mining and data modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. The ideal candidate must have demonstrated ability to manage the medium to large scale automation and data modeling projects, identify requirements and build methodology and tools that are technically grounded but also explainable operationally, apply technical skills allowing the solution to adapt to changing attributes.A day in the lifeYou will build the data solutions and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.About the teamAmazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting and selection additions.- Master's degree in statistics, data science, or an equivalent quantitative field- 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 in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership- Knowledge of data warehousing and data modeling- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.- Experience building measures and metrics, and developing reporting solutionsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Amazon Vendor Services (AVS) organization strives to improve the Amazon customer experience by working directly with Selling Partners to enable more selection, reduce defects, and drive growth across their businesses. Our team invents and innovates across technology, processes and people to enhance the services we offer, improve Selling Partner engagement and satisfaction, and build scalable solutions. Our team is responsible for building robust processes, identifying opportunities for improvement, and partnering with dependent teams to improve tools and systems for internal and external customers. As a BIE, you will develop, standardize, and report on data which drives efficiency and scalability for the AVS Program. You will work closely with business intelligence, data engineering, operations, marketing, and other Retail partners to improve the Selling Partner experience. You will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility and high impact areas in the organization. The ideal candidate is highly analytical, resourceful, customer-focused and team oriented, with clear communication skills and the ability to build effective relationships with key stakeholders. You are also have a history of delivering results in a fast-paced and dynamic business environment. Key job responsibilities- Use analytical and statistical rigor to solve complex problems and drive business decisions- Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX)- Develop deep-dive tools, UIs, metrics, and dashboards- Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance. This will require data gathering and manipulation, synthesis and modeling, running simulations, problem solving, and communication of insights and recommendations.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysisAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

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 team- 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- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

As a Business Intelligence Engineer on the Finance team supporting the Measurement, Ad Tech, and Data Science (MADS) team, 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 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 supporting the Measurement, Ad Tech, and Data Science (MADS) team, 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 and drive data-driven innovation, this role is sure to engage you.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysisAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

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.- 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- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon’s Marketplace services over 2 million Sellers disrupting traditional notions of retail marketplace and connecting millions of businesses, big and small, to millions of Customers within the Amazon.com marketplace. The Marketplace business exceeds 50% of the total Amazon.com sales and each year, tens of thousands of businesses join the marketplace adding millions of new products.The Seller Fulfillment Services (SFS) team is seeking a experienced Business Intelligence Engineer to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform and self serve tools for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with. Moreover, the candidate should have ability in using advanced techniques, for example scripting language and building statistical models, to drive complex insights analysis.Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.Key job responsibilities- Design, implement, and deploy BI solutions. You successfully solve difficult and/or loosely structured problems. You are able to refine requirements from business stakeholders into a functional design that solves the problem- Have a solid understanding of data design approaches and analysis techniques (and how to best use them)- Able to work independently and with your team to deliver BI solutions successfully- Demonstrate high quality (e.g., maintainable, efficient, well-documented) work consistently and incorporates best practices. Your team trusts your work- You focus on operational excellence: constructively identifying quality issues, proposing solutions when necessary, taking on projects that improve your team’s BI solutions, and making them better and easier to maintain- You create source-of-truth datasets using SQL; you leverage scripting language i.e. Python to create automation and reduce manual processes- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.The WHS Data team is hiring a Senior Business Intelligence Engineer (Sr. BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This Sr. BIE role will primarily support the data and reporting needs for the Business Unit BI (BU BI) team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups up to senior leadership. In addition, this role will serve as team lead providing mentorship, review of product development and direction on ad-hoc leadership requests with more junior members. Key job responsibilities-Lead the design, implementation, and delivery of BI solutions for the complex and ambiguous problems-Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership-Identify opportunities and key criteria to drive analytical reporting and business strategy-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders-Partner with our Data Engineering team 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 innovation-Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisionsA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! - 5+ years of SQL experience- Experience building measures and metrics, and developing reporting solutions- Experience with data visualization using Tableau, Quicksight, or similar tools- Knowledge of data warehousing and data modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Master's degree in statistics, data science, or an equivalent quantitative field- 7+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologiesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

The Customer Trust team within the Device, Digital and Alexa Support (D2AS) organization is looking for an enthusiastic and motivated Business Intelligence Engineering Manager to join a collaborative team that improves the customer experience for millions of Amazon Customers! In this role, you'll actively contribute to leadership discussions, shape our strategy based on customer behavior insights, and oversee the creation of business analytics dashboards and analyses. The ideal candidate is self-motivated, comfortable with uncertainty, and able to think creatively on a large scale. As the Business Intelligence Engineering (BIE) Manager, you should have expertise in designing data warehouse solutions for large organizations across multiple platforms, strong skills in handling very large datasets, and excellent communication abilities to work effectively with business analysts and data engineers. As the business changes, you should be able to learn new things and pivot quickly with a builder and start-up mindset. Key job responsibilities - Work closely with the Product Managers, Scientists, Engineers, and Data Engineers on developing BI/analytics solutions to measure the performance of new and existing solutions (including ML models) and surface new opportunities for improvements.- Build and analyze key metrics to uncover trends and root causes of issues and own ad-hoc deep dive investigations into existing customer journeys to identify root causes of issues and surface improvement opportunities.- Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions. - Work with the D2AS stakeholders to migrate visualization tools to better adapt applications within the AWS ecosystem. In this effort, you will migrate existing dashboards, test, deploy and train users in the new visualization tool.- Manage, coach, and develop a team of Business Analysts and Business Intelligence Engineers.- Maintain internal infrastructure to support data requests - Actively participate in the future of Customer Trust as a valuable member of the Customer Trust Leadership TeamA day in the lifeYour day begins with a team huddle, energizing your staff with positive encouragement and setting clear goals. You spend the morning coaching team members on data analysis techniques, fostering their growth and confidence. After lunch, you join a leadership meeting, contributing valuable insights on customer behavior trends. The afternoon involves exploring cutting-edge data visualization tools, excited about their potential to enhance your team's capabilities. You end the day by conducting one-on-one check-ins, offering support and guidance to your staff. Throughout it all, your attitude and passion for learning new technologies inspire your team to push boundaries and deliver exceptional results.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamCustomer Trust advocates on behalf of our customers and protects their experience. On this team, you will partner with teams from Executive Escalations to a Digital Command Center to Product Safety and Offensive Content. The Customer Trust leadership team emphasizes trust and collaborative interactions between members who raise the bar on the customer experience. The team is excited when fresh ideas are brought to the table and everyone is encouraged to come as they are and express their valuable thoughts and opinions. - 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience with SQL- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software- 4+ years of working with very large data warehousing environment experience- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experienceAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,100/year in our lowest geographic market up to $223,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon is seeking to hire a Business Intelligence Engineer to join the Voice of Seller team within Selling Partner Services (SPS). This position will be instrumental in driving operational excellence across our support network to positively impact the experience for Selling Partners. In this role you will analyze large amounts of data, discover and solve real world problems; and build metrics, business cases, and standard reports around Selling Partner Support initiatives.Key job responsibilitiesThe successful candidate will be highly self-directed, possess superior analytical skills, exhibit a strong attention to detail, be able to multi-task and react with appropriate levels of urgency to situations and events that require quick response or turnaround; demonstrating the ability to deliver results in a fast paced, ambiguous environment.Voice of Customer technology is used to provide deeper insight into support experiences happening at worldwide contact centers, measure the impact of business decisions affecting tens of millions of customers, and make informed recommendations that drive operational efficiency. The Business Intelligence Engineer will leverage Voice of Customer technology to support both support operations and continuous improvement through the development and maintenance of ongoing reports, ad hoc data retrieval, and analysis of business processes.The successful candidate will:• Create and refine Voice of Customer metrics using Natural Language Processing for requested insights.• Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.• Monitoring existing metrics, developing and proposing new metrics, and working across the SPS organization to make actionable intelligence available to business stakeholders.• Developing requirements and specifications with business and development teams.• Analyzing, diagnosing, and recommending required changes to improve the support experience for Amazon Selling Partners.• Work with management teams across all functional areas within the SPS network to create automated and/or ad-hoc reporting.• Validate the data quality of a variety of data sources and ensure they will support the analysis requirements.• Utilize SQL and SAS to manipulate the data into the necessary structure. This includes outlier analysis, data linking, missing variable treatment, and data exploration.• Learn the necessary data storage and ETL processes to move data into BI platforms built on AWS technology. • Analyze free text data sets for critical insights, patterns, and trends in order to develop and communicate ROI opportunities to the management team.• Work with cross functional groups to combine VOC with other data sources and complete a full root-cause-analysisAbout 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 making- Master'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 in Statistical Analysis packages such as R, SAS and Matlab- Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Conversational search shopping team is looking for an innovative, hands-on and customer-obsessed Business intel engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Key job responsibilitiesIdeal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadershipAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Are you interested in building highly impactful business intelligence (BI) solutions in a mixed team of BIEs, Data Scientists, Data Engineers, and SDEs? If so, you should consider a role in AWS Hardware Engineering Services.We are responsible for designing, qualifying, and maintaining server solutions for AWS and its customers. The Data Science and Analytics team supports the broader Hardware Engineering organization by acting as conduits between the data and the business. As a Business Intelligence Engineer in our team, you will support the design, implementation, and delivery of BI solutions in a complex problem space that has a long-term impact on a business, organization, and technology. You will gain exposure to both Data Science and Data Engineering disciplines, while developing your technical skills and leadership ability. The ideal candidate will be experienced in the areas of data and business intelligence systems. You have a demonstrated record of driving new analytical solutions from inception to launch. You are highly skilled with SQL, have experience developing ETL processes, understand data visualization tools such as QuickSight, and have familiarity with at least one scripting language.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Amazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.- 5+ years of experience in analyzing, interpreting and reporting data- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience working directly with business stakeholders to translate between data and business needs- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.