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In this role, you will:- Be at the forefront of developing end-to-end automation of data pipelines that power critical applications and ML models.
- Apply your strong analytical skills to extract meaningful insights and learnings from large and complex datasets, turning raw data into actionable intelligence.Key job responsibilities- Ability to confidently voice your opinions and drive initiatives.
- Proven experience measuring product performance and translating data into actionable insights.
A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 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 applying basic statistical methods (e.g. regression) to difficult business problems
- Bachelor's degree
- 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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