Business Intelligence Engineer, IES CFX & Prime

The IES CFX & Prime team for India and Emerging Market is looking for talented Business Intelligence Engineers (BIE) who develop solutions to better optimize customer experience and shopping experience by disproportionately improving consolidation. As part of IES CFX & Prime team for India and Emerging Markets, our team members have the opportunity to be at the forefront of Returns & CoBW team for India and Emerging Markets product thought leadership - working on some of the most difficult Customer Return Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data, analyzing root causes, defining long-term solutions and driving their implementation with stakeholders.

We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence people using hard data (and some tact) then we are looking for you!

Key job responsibilities
As a BIE within the group, you will work closely with program managers, software developers, research scientists, and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the product team you have the opportunity to participate and shape product development as well as leverage your technical skills. This position provides opportunities to influence high visibility/high impact areas in the organization.

This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your technical and engineering expertise to rapidly prototype and deliver solutions. This skill also requires you to work across a variety of teams, including software tech teams, operations, finance, category, search, and inventory platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon’s strategic needs.

A day in the life
• Perform complex data analysis (correlations, regressions, simulations, optimization, etc.) and identify improvement opportunities on key customer experience metrics (sales, consolidation, Prime benefits, reduce ship costs, etc.).
• Own end-to-end program management. You will not only develop insights but devise realistic plans and work with key stakeholders (software managers, product managers, retail business managers, etc.) to execute them.
• Responsible for adding YY million $ to top line or reducing XX million $ actual savings to bottom line. You will be responsible for not only "recommendation" but actual improvements.
• Engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook.
• Be a subject matter expert in best in class customer experience policies at Amazon. You will understand intricate details of our promise and ordering systems along with their impact on ground-level operations
• Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.
• Build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions. You
• Work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high¬ value, self-service automated BI solutions.
• Responsible for up skilling team data management and analytical capabilities by mentoring program managers, junior/peer analysts, and senior managers.


About the team
As IES CFX & Prime Team, we are at the forefront of the Customer Experience product thought leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs, and translating these concepts into robust scalable products that deliver tangible value to our customers and to the A.in business.

Basic Qualifications

- 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)

Preferred Qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.