Analyst II, Full Stack (Revenue Analytics)
$63,000–$99,000 year
RemoteSpain
Job Summary
Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and external merchant reporting. Build and maintain critical reporting data models while constructing the semantic, metadata, and context layers that enable AI systems to accurately understand Revenue data and business definitions. Partner with Business Systems, engineering, and stakeholders to translate requirements into durable, well-tested data products, contributing to best practices in version control, code review, and release hygiene. Establish processes and governance to scale analytics impact within the Revenue organization. This role supports Affirm's mission to reinvent credit by powering day-to-day decision-making with reliable data infrastructure for the Revenue team.
Required Qualifications
- 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
- 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
- Must be based in Spain for the role
Desired Qualifications
- Experience with Salesforce and experience supporting commercial areas of the business
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