Responsibilities
- Collaborate with commercial, finance, and executive teams to convert ambiguous business inquiries into well-defined analytical initiatives by anticipating strategic needs ahead of formal requests
- Develop and execute rigorous causal inference methods, including difference-in-differences and propensity score modeling, to assess promotional effectiveness and quantify economic drivers such as price sensitivity and regulatory cost effects
- Design, manage, and optimize large-scale commercial data structures in BigQuery using SQL and dbt, while implementing and maintaining forecasting systems for market share and demand that influence multimillion-dollar decisions
- Create predictive models and performance indicators that shape field sales strategies, guiding resource allocation to maximize revenue at the store level
- Implement large language models and AI-driven workflows to process unstructured transaction data, and develop internal tools that expand self-service data capabilities for non-technical stakeholders
