Analytics Engineer Ii, Full Stack (Revenue Analytics)

Analytics Engineer II, Full Stack (Revenue Analytics)Remote SpainAt 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 Analyst at 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 doDevelop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analystsBuild and maintain critical reporting data models that power external merchant reportingBuild the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitionsPartner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data productsContribute 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 for3+ years of work experience in an analytics engineering or business intelligence roleStrong working knowledge of SQL, dbt, Python, data modeling, and data visualizationHands?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 qualityDemonstrated experience integrating AI tools into day?to?day analytics engineering workflows to improve development speed, quality, and scalabilityFamiliarity with Salesforce and experience supporting commercial areas of the businessAbility to identify user needs and translate them into robust, scalable data productsAbility to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solutionAbility to communicate findings and recommendations clearly to both technical and non?technical audiences.Compensation and BenefitsBase Pay Grade- KEquity Grade- 3Employees new to affirm typically come in at the start of the pay range.
affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job?related skills.Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents ).
In addition, the employees may be eligible for equity rewards offered by affirm Holdings, Inc. (parent company).
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.ESP base pay range per year: 63,********,000 EURAdditional benefits include:Type of employment: Contract of EmploymentFlexible Spending Wallets for tech, food and lifestyleAway Days - wellness days to take off work and rechargeEmployee Resource & Community GroupsThis role is eligible for creative tax benefits,subject to applicable law and company policyLocation - Remote SpainThe majority of our roles can be located anywhere in Spain.
**This job description is not a contractual document, and is not intended to have binding force.
**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:Health coverage at no cost: We cover 100% of premiums for employees and their dependents.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.
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