Analyst II, Full Stack (Revenue Analytics)

Stack

Responsibilities

• ▹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 and metrics
• ▹Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products
• ▹Contribute to the team's version control, code review, documentation, and release practices (GitHub-based workflows)
• ▹Develop processes and governance to scale the impact of analytics within Revenue

Requirements

• ▹3+ years of 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, and metric definitions
• ▹Experience integrating AI tools into day-to-day analytics engineering workflows
• ▹Ability to deconstruct ambiguous problems into tangible steps
• ▹Ability to communicate findings and recommendations clearly to technical and non-technical audiences

Nice to have

• ▹Familiarity with Salesforce and experience supporting commercial areas of the business

Soft skills

What we offer

• ▹100% subsidized medical coverage for employees and dependents
• ▹Monthly stipends for health, wellness and tech spending
• ▹Remote-first flexibility across Poland
• ▹Learning & Development programs
• ▹Parental benefits
• ▹Employee Stock Purchase Program (ESPP)
• ▹Role eligible for creative tax benefits

About the company

Affirm is reinventing credit to make it more honest and friendly, offering buy-now-pay-later without hidden fees or compounding interest. The company takes a data-driven approach to growing and optimizing its revenue segments.