Salary
💰 $100,000 - $130,000 per year
About the role
- Support experimentation at scale: Partner with product managers and engineers to design, implement, and analyze experiments that improve acquisition, retention, and repayment outcomes
- Collaborate cross-functionally with data science, risk, finance, and executive leadership to translate analytical findings into actionable strategies
- Deep-dive into risk performance: analyze product funnels, risk performance, and credit line utilization to identify opportunities for underwriting model improvements
- Accelerate product growth by exploring third-party data integrations to create new avenues of growth
- Enable faster decision-making by monitoring core KPIs to identify anomalies and emerging trends, driving timely interventions and strategic pivots
- Scale analytics at Brigit: Build internal tools and analytics data models, and document methodologies, processes, and key learnings to scale analytical best practices across the team
- Be embedded in a cross-functional squad working on Instant Cash (IC), influencing product direction, risk strategy, and customer experience
Requirements
- 1-3 years of experience in a data analytics or product analytics role (internships/co-ops count)
- Deep proficiency in SQL and data visualization tools (Looker, Mode, Tableau, or similar)
- Experience conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations
- A proactive approach to problem-solving and the ability to operate with a high degree of autonomy in a fast-paced environment
- Strong communication skills to collaborate effectively with cross-functional teams and stakeholders
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Data Science, Computer Science, Mathematics)
- Will operate out of Brigit’s New York office with the option to work remote 2-3x per week (hybrid)