Senior Manager, Data Science & Operation Analytics
Tasks
- Apply causal inference
- Build analytical datasets
- Build self-service analytics tools
- Build semantic layers
- Conduct root cause analysis
- Create KPI frameworks
- Design and analyze AB tests
- Develop dashboards and reporting
- Develop statistical frameworks
- Establish experimentation capabilities
- Improve data quality and governance
- Lead analytics strategy
- Manage and mentor analytics team
- Perform forecasting and trend analysis
- Promote reproducible analysis best practices
- Quantify business impact
- Standardize business definitions
- Support capacity planning
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Employee assistance program
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
- Wellbeing resources
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Dashboarding | Data Governance | Data Modeling | Data Quality | Data Visualization | Experimental Design | Hypothesis Testing | KPI | Looker | NumPy | Pandas | Power BI | Python | SQL | SciPy | Series analysis | Statistical Forecasting | StatsModels | Tableau | Time Series | Time Series Analysis
Education
N/A
Regions
Countries
States
Cities
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