• Experience with SQL or ETL
• Experience defining requirements and using data and metrics to draw business insights
• 1+ years of tax, finance or a related analytical field experience

Do you want to be part of the team that ensures Amazon keeps its Customer Experience promise across millions of customers worldwide? Does the challenge of driving decisions in a dynamic environment excite you? Do you love solving complex business problems? Are you seeking an environment where you can drive innovation? Are you a passionate self-starter? If the answer to the above questions is a resounding “YES”, read on!
The Retail Business Services team is seeking people with passion of solving complex business problem through analytical platform.

• You eye to uncover trends to go beyond the obvious, identify the “whys”
• You are comfortable dealing with ambiguity, asking questions and taking up challenges
• You deal with multiple teams; understand newer areas of business with ease
• You are comfortable owning multiple projects and driving them to closure
• You are technically sound in finding and wrangling data you need to bring out the insight
• You are comfortable presenting and reporting them effectively to Leaders of Amazon!

This person will own the production and delivery of a suite of standard reports, tools regularly used by the organization to make key business decisions. This will involve:

Key job responsibilities
1. Develops and implements new tools to support the business
2. Creating, supporting and continuously improving reports and metrics that support the business operations
3. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau
4. Shaping and delivering key metrics, reports, and indicators by which our business will assess its performance
5. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages
6. Working directly with business teams to utilize metrics and analysis to determine improvement opportunities

• Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
• Experience using very large datasets