Analyst II, Full Stack (Revenue Analytics) 100% remote

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The Revenue Analytics team builds and owns data products, reporting infrastructure, semantic foundations, and analytical systems that power the Revenue organization. The team focuses on building scalable data products that support decision-making and strengthen data governance for reliable AI.

• 3+ years of experience in analytics engineering or business intelligence
• 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 data foundations for reliable AI, including semantic layers, metadata, evaluations, metric definitions, documentation, and data quality
• Experience integrating AI tools into analytics engineering workflows to improve speed, quality, and scalability
• Familiarity with Salesforce and supporting commercial business areas
• Ability to identify user needs and translate them into robust, scalable data products
• Ability to deconstruct ambiguous problems and work towards impactful solutions
• Ability to communicate findings clearly to both technical and non-technical audiences

• Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts
• Build and maintain critical reporting data models powering external merchant reporting
• Build the semantic, metadata, and context layers to enable 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 best practices in version control, code review, documentation, and release hygiene using GitHub-based workflows
• Develop processes, governance, and foundations to scale the impact of analytics within Revenue

The job description is not a contractual document and is not intended to have binding force. Data processing is governed by privacy policies and applicable law. Majority of roles can be located anywhere in Poland.