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Happiness score
66/100
Based on 12 verified employee signals
Affirm posts 33% revenue growth and $14.1B in quarterly GMV
Fiscal Q4 2026 revenue reached $1.2B, up 33% year over year, while GMV rose 36% to $14.1B. Operating income equaled 13% of revenue.
Affirm promotes Michael Linford from COO to President
Affirm appointed Michael Linford President effective Aug. 27, 2026, expanding his oversight to revenue, global markets, legal, compliance and public affairs.
Affirm and Shopify launch Shop Pay Installments in Australia
Shopify merchants in Australia can now activate Affirm-powered installment payments offering eligible shoppers fortnightly or monthly plans.
Affirm brings pay-over-time checkout to Google Search and Gemini
Affirm began rolling its payment options into Google Search, including AI Mode, and the Gemini app through Google Pay, extending BNPL into AI-assisted shopping.
AI Generated Insights
Own end‑to‑end data products for revenue analytics, including dbt models, dashboards, metrics, automation, and the semantic layer that supports AI and reporting.
3+ years in analytics engineering or BI, strong SQL, dbt, Python, data modeling, and experience with BI tools, Databricks, Snowflake, plus familiarity with Salesforce and AI‑enabled analytics workflows.
These data foundations power day‑to‑day decision‑making for revenue teams, enable reliable AI insights, and drive external merchant reporting, directly supporting Affirm’s mission of honest credit.
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.
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.
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.
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.
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.
In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm’s parent company grows, employees have the opportunity to share in that growth financially.
Equity Grade - 2 (awarded in US Dollars)
Affirm Holdings, Inc. Equity Grade example
Equity grade: 2
New hire equity: $16,000-$24,000
Annual Refresh: $5,000
Reward equity: $0-$75,000
Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month.
In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include:
Location - Remote Poland
The majority of our roles can be located anywhere in Poland.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.
