Financial inequality is increasing, and too many people are getting left behind. At Stash, we are passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom.
Requirements
- Proficiency in Python (for data analysis and modeling) and SQL (for data extraction and manipulation).
- Strong knowledge of machine learning algorithms, statistical modeling, and experimental design (A/B testing). Experience with attribution modeling and incrementality testing is a significant plus
- Familiarity with dbt (data build tool) and experience with data warehousing concepts and ETL processes.
- Experience with data visualization tools like Looker, Tableau, or Power BI.
Responsibilities
- Analyze Growth Funnels: Deeply analyze user behavior across the entire customer lifecycle, from acquisition and activation to retention and referrals. Identify key drop-off points and opportunities for improvement.
- Build Predictive Models: Develop and deploy machine learning models to predict user churn, lifetime value (LTV), and conversion probabilities. Use these insights to personalize user experiences and optimize marketing campaigns.
- Design and Analyze A/B Tests: Partner with product and marketing teams to design, execute, and analyze A/B tests and other experiments. Use statistical rigor to measure the impact of new features and campaigns.
- Optimize Marketing and Product Decisions: Work closely with Growth teams to drive data-driven decision making. Use techniques like attribution modeling to understand which channels are most effective, and incrementally testing to measure the true impact of marketing campaigns.
- Build and Maintain Data Models: maintaining and developing data models in our data mart to ensure data is clean, accessible, and reliable for business analysis.
- Develop Dashboards and Reports: Create and maintain dashboards and reports that provide stakeholders with a clear, real-time view of key growth metrics (e.g., DAU/MAU, churn rate, LTV, CAC).
- Collaborate Cross-Functionally: Work closely with product managers, engineers, and marketers to translate data insights into actionable strategies that drive growth.
Other
- 4+ years of experience in a data science or analytics role, with a focus on growth.
- You have a strong business acumen and can connect data findings to business outcomes.
- LI-Hybrid
- Flexible work policy – We offer a flexible work environment that blends working from home with in-person collaboration at our NYC office to support productivity and team culture.
- Flexible PTO
