Senior Manager, Data Science & Operation Analytics
Tasks
- Build dashboards and reporting
- Build scalable analytical datasets
- Create semantic layers and metrics
- Design and analyze A/B tests
- Develop KPI frameworks
- Develop statistical frameworks
- Establish analytics best practices
- Establish experimentation capabilities
- Improve data quality and governance
- Lead analytics strategy
- Lead forecasting and trend analysis
- Mentor and develop analytics team
- Perform causal inference
- Perform operational root cause analysis
- Standardize business definitions
- Support capacity planning
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Dashboard Development | Data Governance | Data Instrumentation | Data Modeling | Data Quality | Data Visualization | Experimental Design | Forecasting | Hypothesis Testing | KPI Framework | Looker | NumPy | Pandas | Power BI | Python | SQL | SciPy | Semantic layer | Series analysis | Statistical Analysis | StatsModels | Tableau | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Science | Data Science Manager | Manager | Senior Manager
Regions
Countries
States
Cities
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