Lead, Decision Science Analyst (Marketing)
Tasks
- Build analytics relationships with business leaders
- Communicate uncertainty assumptions and limitations
- Conduct exploratory, diagnostic, and causal analyses
- Design and analyze A/B tests
- Develop analytical frameworks from business requirements
- Develop and monitor product or customer KPIs
- Ensure experiment validity and clear readouts
- Guide analysts with experimentation and statistical rigor
- Identify leading indicators behavioral trends and segmentation opportunities
- Maintain data accuracy and integrity
- Provide data-driven recommendations to stakeholders
- Use SQL and Python for data extraction manipulation integration and analysis
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Azure | B testing | Calculated Metrics | Causal Inference | Data Analysis | Data Blending | Data Integrity | Data Modeling | Data Quality | Data Visualization | Data Warehouse | Data Warehouse Concepts | Databricks | Diagnostic analysis | Experiment design | Exploratory Data Analysis | Jira | KPI Development | Power BI | Python | SAP | SQL | Salesforce | Semantic layer | Statistical rigor | Tableau | Tealium | Warehouse concepts
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