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About Affirm

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

Role Overview

We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Senior Analyst, Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure.

What you'll do

  • Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts
  • Build and maintain critical reporting data models that power external merchant reporting
  • Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions
  • Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products
  • Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows)
  • Develop processes, governance, and foundations to scale the impact of analytics within Revenue.

Total rewards

We believe the people building honest financial products at Affirm should share in its success. That's why our total rewards are designed to support your health, growth, financial well-being, and future. In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits.

Compensation

  • Base Pay Grade - K: 226 000 zł - 346 000 zł. Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills.
  • Equity Grade - 2 (awarded in US Dollars): New hire equity $16,000-$24,000; Annual Refresh $5,000; Reward equity $0-$75,000.
  • Flexible spending wallets for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month.

Benefits

  • Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge.
  • Comprehensive private healthcare through Lux Med's Platinum package.
  • A MultiSport card to support your health and well-being.
  • Learning and development programs to help you grow professionally.
  • Family healthcare support through Maven and parental leave support through Parentaly.
  • Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members.
  • Financial well-being support through Northstar, with unlimited access to Certified Financial Advisors and planning tools at no cost to you.
  • Employee Resource Groups (ERGs) that foster connection and inclusion.
  • Eligibility for creative tax benefits, subject to applicable law, role, and company policy.
  • Employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

Work Environment

  • Remote-first with flexibility built in. Most roles can be done from almost anywhere within the country of employment.

What we look for

  • 3+ years of work experience in an analytics engineering or business intelligence role
  • Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization
  • Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake)
  • Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality
  • Demonstrated experience integrating AI tools into day-to-day analytics engineering workflows to improve development speed, quality, and scalability
  • Familiarity with Salesforce and experience supporting commercial areas of the business
  • Ability to identify user needs and translate them into robust, scalable data products
  • Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solution
  • Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

Affirm

Affirm

2000

Affirm’s mission is to deliver honest financial products that improve lives. By building a new kind of payment network — one based on trust, transparency and putting people first — we empower millions of consumers to spend and save responsibly, and give thousands of businesses the tools to fuel growth. Unlike credit cards and other pay-over-time options, we show consumers exactly what they will pay up front, never increase that amount, and never charge any late or hidden fees. 

The company was founded with the goal to create honest financial products and services that empower consumers and improve lives. It aims to revolutionize the banking industry to be more accountable and accessible to consumers. Today, Affirm provides shoppers an alternative to traditional credit cards at the point of sale, giving them the flexibility to buy now and make simple monthly payments for their purchases. Unlike payment options that have compounding interest and unexpected costs, Affirm shows customers upfront exactly what they’ll pay each month — with no hidden fees and no surprises. Affirm partners with over 6,000 merchants to give shoppers the option to pay with Affirm at checkout including well-known brands across retail including home furnishings, travel, personal fitness, electronics, apparel and beauty, and more. Loans are made in partnership with Afirm’s originating bank partner Cross River Bank, a New Jersey State Chartered Commercial Bank, Member FDIC.

Jeffrey Kaditz, Max Levchin, and Nathan Gettings established the San Francisco, California-based company in 2012. Max Levchin is the CEO.