Business Intelligence Engineer

- 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 analysis

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Are you excited about delighting millions of customers by driving the most relevant marketing initiatives? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? Are you passionate about leveraging data to deliver actionable insights that could impact daily business decisions at Amazon India? Does the prospect of dealing with massive volumes of data excite you? Do you love using data to answer challenging product and customer behavior questions?

We are looking for an experienced Business Intelligence Engineer who is self-driven, analytical and has a strong inclination towards identifying right data tends, highlight gaps in existing data and build effective measurement frameworks to improve experience of our shoppers. Candidate should be able to use a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. He/She should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. He/She will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. This position represents an exciting opportunity to be a part of a dynamic and high paced environment.


Key job responsibilities
- Conduct end to end deep dives using exploratory data and statistical analysis to create actionable insights
- Understanding of stats and ML
- Interface with cross functional stakeholders to gather data and metrics requirements.
- Developing interactive and flexible visualization dashboards, reporting across products, to drive adoption and increase visibility into key measures of business performance.
- Data modeling, Data extraction through ETL and SQL