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Salary: PLN 226,000 - 346,000 / annual
Affirm is seeking a Revenue Analytics professional to join their data team, building scalable data products that power revenue decision-making across the organization. In this role, you'll own end-to-end work spanning data modeling, metric definitions, dashboards, automation, and stakeholder enablement.
Key responsibilities include developing dbt data models and dashboards for revenue field teams and analysts, building and maintaining critical reporting data models that power external merchant reporting, and constructing semantic and metadata layers that enable AI systems to accurately understand revenue data and business definitions. You'll partner closely with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products, while contributing to team best practices in version control, code review, documentation, and GitHub-based workflows. You'll also develop governance processes and foundations to scale analytics impact within the Revenue organization.
Required qualifications include 3+ years of experience in analytics engineering or business intelligence roles, strong proficiency in SQL, dbt, Python, data modeling, and data visualization. You should have hands-on experience with BI tools (Sigma, Looker, or Tableau), Databricks, and cloud data warehouses like Snowflake. Understanding of data foundations for reliable AI—including semantic layers, metadata, evals, metric definitions, documentation, and data quality—is essential. Experience integrating AI tools into analytics engineering workflows, familiarity with Salesforce, and the ability to support commercial business areas are valued. The ideal candidate can identify user needs, translate ambiguous problems into tangible steps, and communicate findings clearly to both technical and non-technical audiences.
