Revenue Analytics Engineer - Data Products & AI

Affirm; Los Angeles (CA); On-site; USD 220,000 - 280,000; Full time

Benefits offered by this job

Health care coverage

Flexible Spending Wallets

Time off

Employee stock purchase (ESPP)

Job summary

Affirm is seeking an experienced analytics engineer to join the Revenue Analytics team. You will develop scalable data products, establish semantic foundations for AI, and set the technical direction of the Revenue data layer.

You will mentor analysts and collaborate with cross-functional partners to raise data quality and impact across the revenue organization. Responsibilities include leading end-to-end data product initiatives, advancing AI integration, and shaping governance, testing, and

Qualifications

• 7+ years of experience in analytics engineering or related technical analytics roles.
• Deep expertise in SQL, dbt, data modeling, metrics design, data quality, and data documentation.
• Strong knowledge of BI tools (Sigma, Looker, Tableau) and cloud warehouses (Snowflake) and platforms (Databricks).
• Experience designing scalable data products for multiple audiences and leading complex projects.
• Familiarity with Salesforce and supporting GTM, revenue, or sales operations teams.

Responsibilities

• Lead high-impact data product initiatives for Revenue from problem definition through design, implementation, rollout, and adoption.
• Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases and integrating AI into analytics workflows; establish semantic, metadata, and quality foundations for AI.
• Design and build durable, well-tested data products that power revenue operations, field and executive reporting, external merchant reporting, and analyst self-service.
• Set technical direction for Revenue’s data layer across dbt models, metrics, semantic structures, documentation, lineage, testing, governance, and access controls.
• Identify opportunities to simplify, automate, and scale Revenue Analytics through improved data architecture, tooling, governance, and enablement.
• Provide technical leadership and mentorship to analysts and cross-functional partners, raising the bar for data product design and maintenance.

Skills

SQL

dbt

Data modeling

Metrics design

Data quality

Documentation

Analytics engineering

Tools

Snowflake

Databricks

Looker

Sigma

Job description

Affirm is seeking an experienced analytics engineer to join the Revenue Analytics team. You will develop scalable data products, establish semantic foundations for AI, and set the technical direction of the Revenue data layer.

You will mentor analysts and collaborate with cross-functional partners to raise data quality and impact across the revenue organization. Responsibilities include leading end-to-end data product initiatives, advancing AI integration, and shaping governance, testing, and