Skip to main content

Analytics Engineer II, Full Stack (Revenue Analytics)

Affirm
Remote - SpainUpdated 19d ago
Total compensation
€63k–€99k
Published total compensation range
Location
Remote - Spain
Remote eligibility
Employment
Full-time
Mid-level
Role family
Data
Fintech
Role skills
Apply on job-boards.greenhouse.io
Job actionsApply now
Job actionsApply now

About the job

About the Role

Affirm's Revenue Analytics team builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm's Revenue organization. As an Analytics Engineer II, 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.

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.

Compensation and Benefits

Base pay range per year: 63,000 - 99,000 EUR. Total compensation 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). Employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). Additional benefits include: Flexible Spending Wallets for tech, food and lifestyle, Away Days - wellness days to take off work and recharge, Learning & Development programs, Parental benefits, Employee Resource & Community Groups. This role is eligible for creative tax benefits, subject to applicable law and company policy.

Location

Remote Spain. The majority of our roles can be located anywhere in Spain. Affirm is a remote-first company. 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.

Application

Apply via the provided link. 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.

Skills & tags

What you can verify before applying

Compare the essentials before you leave: pay, remote scope, employment type, source, and the employer apply destination.