Analytics Engineer

Who you are

• 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

What the job involves

• 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
• 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

Benefits

• Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
• Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
• Supportive Communities: Get involved with our employee resource groups and community groups
• Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
• Generous Time Off: Take the time you need when life happens
• Health Benefits: Get a plan that fits your needs
• Mental Healthcare: Take care of your mind with great mental health programs
• Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
• Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
• Learning & Development: Engage in exciting learning programs to level up your growth