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Key job responsibilities- Query large datasets across multiple platforms- Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations
- Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.
- Work with PM/BIE/DE managers in understanding the business requirements and implementing solutions to support analytics and reports.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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)
- Experience in designing and implementing custom reporting systems using automation tools
- 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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