Revenue Analytics Engineer — AI-Driven Data Products Remote

Affirm; St. Louis (MO); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Health care coverage

Flexible Spending Wallets

Time off

ESPP

Job summary

Affirm is seeking an experienced analytics engineer to lead the development of scalable data products for Revenue. You will drive data modeling, metrics, dashboards, governance, and AI enablement, shaping the semantic foundations and data quality across the Revenue organization.

You will mentor analysts and partners, define scope for complex projects, and set the technical direction for dbt models, metrics, and data access controls to power reports for Revenue teams and external stakeholders.

Qualifications

• 7+ years in analytics engineering or related roles.
• Deep SQL, dbt, data modeling, and metrics design expertise.
• Experience with BI tools and modern data platforms; AI-enabled analytics is a plus.

Responsibilities

• Lead data product initiatives from definition through rollout and adoption.
• Advance AI initiatives within the Revenue data ecosystem and establish foundations for AI.
• Design and build durable, well-tested data products for revenue reporting and self-service.
• Set technical direction for the Revenue data layer, including governance and lineage.
• Identify opportunities to automate and scale analytics infrastructure.
• Provide technical leadership and mentorship to analysts and cross-functional partners.

Skills

SQL

dbt

Data modeling

Metrics design

Data quality

Documentation

Analytics leadership

Tools

Looker

Sigma

Tableau

Snowflake

Databricks

Job description

Affirm is seeking an experienced analytics engineer to lead the development of scalable data products for Revenue. You will drive data modeling, metrics, dashboards, governance, and AI enablement, shaping the semantic foundations and data quality across the Revenue organization.

You will mentor analysts and partners, define scope for complex projects, and set the technical direction for dbt models, metrics, and data access controls to power reports for Revenue teams and external stakeholders.