Scan your resume against ATS criteria for this Analytics Engineer II, Full Stack (Revenue Analytics) role at 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.
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.
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.
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 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.
Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to
per month.
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.
The majority of our roles can be located anywhere in Poland.
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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 experience.
Our benefits reflect our commitment to care, transparency, and flexibility
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
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 https://www.affirm.com/global-candidate-privacy-notice Global Candidate Privacy Notice and consent to the use of your personal information as described.
How to apply for Analytics Engineer II, Full Stack (Revenue Analytics) at Affirm?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
The salary for this role is $16,000-$24,000 per annum.
What experience is required?
3+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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Analytics Engineer II, Full Stack (Revenue Analytics)
Affirm · Remote Poland