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
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
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