Lead Data Analyst, Payments Platform

Responsibilities

• Analyze the tradeoff between transaction costs and success rates across ACH and card rails, and develop recommendations to improve both
• Investigate payment failure patterns by institution, response code, and payment method - forming hypotheses, validating them in data, and driving remediations with Engineering, Product and Operations
• Evaluate payment routing and collection strategies and size the impact of new configurations or vendor capabilities
• Assess retry logic for cost and member experience implications and recommend smarter approaches
• Build and refine alerting to detect payment anomalies quickly - unusual return rate spikes, processing failures, or unexpected changes in transaction behavior
• Collaborate with Data Science to support the deployment and ongoing evaluation of predictive models that inform collection timing and payment decisions
• Build monitoring dashboards to track model performance post-launch and surface when adjustments are needed
• Translate model outputs into business-legible insights for stakeholders across product, finance, and leadership
• What you have
• 7+ years of experience in payments analytics, payment operations, or a closely related role in fintech, banking, or financial services
• Advanced SQL - you write complex queries from scratch and are comfortable maintaining data models
• Strong working knowledge of ACH, card networks, and payment processing mechanics - including return codes, retry logic, and settlement timing
• Experience partnering with or supporting Data Science teams - you can evaluate model outputs, understand their limitations, and translate them into business decisions
• Sharp investigative instincts - you can spot an anomaly in payment data, form a hypothesis, and see it through to resolution
• Comfortable in a fast-paced, cross-functional environment where ownership is expected and priorities evolve
• Familiarity with NACHA return rate requirements, AML, or other fintech compliance standards is a plus
• Our Benefits & Team:
• Medical, dental, and vision insurance
• Flexible PTO Policy
• 401k plan
• Paid Parental Leave
• Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
• Monthly reimbursements to use against wifi and cell phone bills
• Annual reimbursement for Learning & Development
• Help hard working Americans build a brighter financial future
• High-grow

Benefits

Additional Information

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others: Built In's 2026 Best Midsize Companies to Work For in New York City Built In's 2025 Best Places to Work For In New York City Built In's 2024 & 2025 Best Startups to Work For In the U.S. Built In's 2023 - 2025 Best Startups to Work For In New York City Fast Company's Most Innovative Companies of 2022 Business Insider's Most Promising Consumer Startups 2022 Forbes Fintech 50 2022 Role Overview Brigit processes billions of dollars in payments. In this role, you'll sit at the intersection of our payments platform, membership, and credit teams - with a mandate to optimize the balance between transaction costs and transaction success rates. The work you do will have a direct impact on our company's profitability. You'll be a member of the Data & Analytics team, embedded in Team Money, our cross-functional payments platform team. Day-to-day, that means you'll focus on evaluating patterns in payment failures, successes, and cost drivers, partnering with Data Science to evaluate predictive models, and helping Engineering and Product make smarter decisions about how we collect. The ideal candidate brings sharp analytical instincts, real payments domain knowledge, and the kind of ownership mentality that turns insights into action.

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