Brigit is looking to scale analytics at their company to support their flagship Instant Cash product, which is a market leader in the earned wage access space. The goal is to ensure that every decision made, from product design to underwriting, is based on rigorous, timely, and actionable data.
Requirements
- 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
Responsibilities
- Support experimentation at scale – Partner with product managers and engineers to design, implement, and analyze experiments that improve acquisition, retention, and repayment outcomes.
- Deep-dive into risk performance – analyze product funnels, risk performance, and credit line utilization to identify opportunities for underwriting model improvements
- Accelerate product growth – Explore opportunities to expand the ways that Brigit leverages third-party data integrations to create new avenues of growth
- Enable faster decision-making – Monitor core KPIs to identify anomalies and emerging trends, driving timely interventions and strategic pivots
- Scale analytics at Brigit – Build internal tools & analytics data models, and document methodologies, processes, and key learnings to scale analytical best practices across the team
Other
- 1-3 years of experience in a data analytics or product analytics role (internships/co-ops count)
- 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)
- This is a full-time role which will operate out of Brigit’s New York office, with the option to work remote 2-3x per week.
