Business Intelligence Engineer, IN-COBRA

We are looking for customer obsessed, data driven entrepreneurs to join our growing team. Solve some of the hardest problems for our customers and Sellers. If you want operate at start up speed, solve some of the hardest problems and build a service which customers love, Amazon.in might just be the place for you. The Business Intelligence Engineer is responsible for driving deep insights about Amazon Business and driving continuous improvement using the analysis. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems.

The BIE will create pipelines for reports to analyze data, make sense of the results and be able to explain what it all means to key stakeholders. This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of the P3P programs. The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.


Develop and streamline necessary dashboards and one-off analyses, providing ability to surface business-critical KPIs, monitor the health of metrics and effectively communicate performance.
Partner with stakeholders and other Business Intelligence teams to acquire necessary data for robust analysis.
Convert data into insights including implications and recommendations that are specific and actionable for the P3P team and across the business.
Partner with other analysts as well as data engineering and technology teams to support building a best-in-class dashboards and data infrastructure.
Communicate insights using data visualization and presentations to stakeholders
The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills. The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. - 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) - Masters degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis