• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• 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)
• Experience with SQL
• Experience in the data/BI space

The Community Feedback org shapes products and technology used daily by millions of customers around the world. The team is responsible for many central Amazon experiences including Customer Reviews, Ask Questions & Answers and Content Moderation. These experiences are world-wide, complex and vital to the on-going success of Amazon. Come work with us to drive the future of these products for our customers!

We're looking for a Business Intelligence Engineer (BIE) who will be a key member of the Community Data & Science team. This person will deliver on strategic analytical projects, define/produce end-to-end metrics that inform product decisions through data-driven insights and improve data/metric accessibility for our business.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. They are an expert with business intelligence tools and passionately partner with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. They are a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced environment, driven by a desire to innovate and move fast.

Key job responsibilities

• Deliver on strategic analytical projects by coordinating with business, tech teams and other stakeholders as needed.
• Deep dive on down stream impact of various customer facing programs, including extracting and analyzing large financial data sets.
• Build models/ heuristics/ frameworks that can directly feed into the tech team roadmap for business enhancements.
• Build agile feedback loop mechanisms to do quick deep dives into new initiatives, measure their efficacy and give recommendations to move closer to desired end state.
• Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
• Write high quality SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d