Lead Data Analyst, Payments Platform

Hellobrigit; San Francisco (CA); On-site; USD 155,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Flexible PTO Policy

401k plan

Paid Parental Leave

Wellness benefits

Monthly reimbursements for wifi and cell phone bills

Annual reimbursement for Learning & Development

Job summary

Hellobrigit in San Francisco is seeking a Payments Analyst to optimize transaction costs and success rates across their payments platform. The ideal candidate will have over 7 years of experience in payments analytics and strong SQL skills. Responsibilities include analyzing payment data, investigating failures, and collaborating with Data Science to implement predictive models. The role offers competitive benefits including medical insurance, flexible PTO, and a 401k plan.

Qualifications

• 7+ years of experience in payments analytics or a closely related role in fintech, banking, or financial services.
• Advanced SQL skills with the ability to write complex queries and maintain data models.
• Strong knowledge of ACH, card networks, and payment processing mechanics.
• Experience partnering with Data Science teams to evaluate model outputs.

Responsibilities

• Analyze transaction costs and success rates across ACH and card rails.
• Investigate payment failure patterns and drive remediation efforts.
• Evaluate payment routing and collection strategies.
• Build alerting systems to detect payment anomalies.

Skills

Payments analytics

Advanced SQL

Payment processing mechanics

Data Science collaboration

Investigative instincts

Fast-paced environment adaptability

Job description

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.

What you’ll be doing

• 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.

The anticipated annual base salary for this position is $155,000 - $170,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

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

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.

If you require reasonable accommodation in completing an application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please email [e-mail].

Disclosures

• For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
• Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.