Revenue Analytics Engineer — AI-Driven Data Products (Remote)

Affirm; Chicago (IL); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Health care coverage

ESP Purchase Plan (ESPP)

Time off

Flexible Spending Wallets

Job summary

Affirm is seeking an experienced analytics engineer to join the Revenue Analytics team and own scalable data products for revenue teams. You will translate complex business problems into robust data models, metrics, and dashboards, while guiding AI enablement and governance across the data layer.

The role involves leading end-to-end data product initiatives, mentoring analysts, and driving alignment with stakeholders while delivering durable solutions in a remote-first environment.

Qualifications

• 7+ years of experience in analytics engineering, BI, data engineering, or related technical analytics role.
• Deep expertise in SQL, dbt, data modeling, metrics design, data quality, documentation, and modern analytics engineering practices.
• Strong working knowledge of BI tools such as Sigma, Looker, or Tableau, cloud data warehouses such as Snowflake, and modern data platforms such as Databricks.
• Strong understanding of foundations required for reliable AI—including semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality.
• Demonstrated ability to independently lead complex, ambiguous projects by defining scope, sequencing work, managing tradeoffs, aligning stakeholders, and delivering durable technical solutions.
• Experience designing scalable data products for multiple audiences and influencing technical and non-technical stakeholders.
• Familiarity with Salesforce and experience supporting commercial, GTM, revenue, or sales operations teams.

Responsibilities

• Lead high-impact data product initiatives for Revenue, from ambiguous 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.
• Design and build durable, well-tested data products powering revenue operations, reporting, and self-service analytics.
• Set technical direction for Revenue's data layer across dbt models, metrics, semantic structures, documentation, and governance.
• Identify opportunities to simplify, automate, and scale Revenue Analytics through improved data architecture and tooling.
• Provide technical leadership and mentorship to analysts and cross-functional partners.

Skills

Analytics engineering

SQL

dbt

Data modeling

Metrics design

Data quality

Documentation

AI enablement

Leadership

Tools

Snowflake

Databricks

Looker

Sigma

Tableau

dbt

Job description

Affirm is seeking an experienced analytics engineer to join the Revenue Analytics team and own scalable data products for revenue teams. You will translate complex business problems into robust data models, metrics, and dashboards, while guiding AI enablement and governance across the data layer.

The role involves leading end-to-end data product initiatives, mentoring analysts, and driving alignment with stakeholders while delivering durable solutions in a remote-first environment.