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ROLE AND RESPONSIBILITIES:
- Turn large commercial datasets into actionable insights for leadership.
- Model direct and syndicated market views to measure program effectiveness.
- Support pricing, distribution, and investment decisions with clean data models.
KEY RESPONSIBILITIES:
- Partner with stakeholders to anticipate analytical needs.
- Design rigorous quasi-experimental analyses for causal impact.
- Architect datasets and build forecasting models powering major decisions.
PERSONAL AND PROFESSIONAL QUALIFICATIONS:
- SQL expertise with clean, maintainable models.
- Strong analytical foundation in experimental design and causal inference.
- Python fluency for analysis and tool building.
EDUCATION:
- Bachelor's degree required; preferred Master's in quantitative field.
Juul Labs
Juul Labs is on a mission to transition the world's billion adult smokers away from combustible cigarettes and combat underage usage. Backed by leading technology investors, they are a diverse team united by this purpose, hiring world-class engineers, scientists, and business professionals.