Senior Data Analyst, Partnerships

In 2026, Brigit launched Instant Cash as an embedded product for Experian's consumers. This partnership went from a small pilot to open availability in six months, and is now one of the largest sources of new cash advance volume at Brigit. This is a Senior role on the Data Analytics team at Brigit, embedded in our Instant Cash Partnerships pod alongside Product and Engineering. Day-to-day, you'll analyze repayment performance of the Experian portfolio, evaluate underwriting and credit limit changes, model cohort LTV and unit economics, and dig into the funnel from account creation through first advance. You'll also own the Experian analytics layer itself: the dbt models, data definitions and reporting, and data quality monitoring that the pod, Finance, and our partners at Experian rely on.

Responsibilities

Own delinquency and non-payback reporting for the Experian portfolio, including vintage curves, delinquency roll rates, gross and net loss, and recoveries; Evaluate underwriting model and credit limit strategy changes end to end, including sizing the population, modeling the approval/loss tradeoff before launch, and reading out actual vs. modeled performance after; Analyze the collections lifecycle and recommend changes that improve repayment rates without degrading member experience; Build and refine alerting to detect anomalies, respond to incidents, and identify emerging risk trends; Maintain and extend the partner-level LTV model, tracked to maturity by monthly cohort; Be the analytical partner to the Experian Product Manager and Tech Lead, shaping the roadmap with data and making sure decisions are measured after they ship; Work with the Partnerships team on what data is shared bi-directionally between Brigit and its partners, including preparation for quarterly business reviews; Partner with Finance on portfolio tracking, revenue coverage, and projections that inform partnership commitments; Own the Experian analytics layer, including dbt models, data definitions, reporting, and data quality monitoring; Model cohort LTV and unit economics and analyze the funnel from account creation through first advance

Requirements

4–6 years of experience in risk analytics, portfolio analytics, or product analytics at a consumer credit, earned wage access, or fintech lending company; Advanced SQL, including writing complex queries from scratch; Experience building or maintaining data models in dbt or a comparable framework; Experience with product funnel analysis, A/B testing, and experiment readouts; Sharp investigative instincts to form hypotheses, find root causes, and size impact; Strong written and verbal communication; Comfortable being the single analyst embedded in a cross-functional pod where ownership is expected and priorities shift

Nice to have

Fluency in consumer credit performance concepts: vintage analysis, roll rates, gross vs. net loss, unit economics, and how underwriting and credit limit decisions move each of them; Familiarity with LLM-based tooling for analytics work

Benefits

Medical, dental, and vision insurance; Annual Employer HSA Contribution; Discretionary Time Off; 401k Matching; Paid Parental Leave; Monthly reimbursement to use against wifi and/or cell phone bill; Annual reimbursement for Learning & Development; High-growth company helping hard working Americans build a brighter financial future; A dynamic, flexible and collaborative start-up work environment with a highly talented team