Revenue Analytics Engineer: AI-Driven Data Products

Affirm; Washington (District of Columbia); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Health coverage for you and dependents

Monthly stipends for health, wellness,

Tech spending

Employee stock purchase plan (ESPP)

Job summary

Affirm seeks an experienced analytics engineer to lead scalable data products for the Revenue Analytics team. You will turn ambiguous business problems into durable data models, metrics, dashboards, and governance, while guiding AI enablement and semantic foundations for the Revenue data layer.

You will mentor analysts, shape architecture, and work across dbt, BI tools, and modern data platforms to deliver trusted data for revenue operations and executive reporting.

Qualifications

• 7+ years of experience in analytics engineering, business intelligence, data engineering, data product development, or a 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 the foundations required for reliable AI- including semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality- and experience applying AI tools within analytics engineering workflows.
• 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 around architecture and product direction.
• 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 technical design, implementation, rollout, and adoption.
• Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases, integrating AI into analytics engineering workflows, and establishing the semantic, metadata, context, quality, and evaluation foundations required 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 how data products are designed, built, and maintained.

Skills

Analytics engineering

SQL

dbt

Data modeling

Metrics design

Data quality

Documentation

BI tools

Looker

Sigma

Snowflake

Databricks

AI in analytics

Leadership

Tools

dbt

Looker

Tableau

Sigma

Snowflake

Databricks

Job description

Affirm seeks an experienced analytics engineer to lead scalable data products for the Revenue Analytics team. You will turn ambiguous business problems into durable data models, metrics, dashboards, and governance, while guiding AI enablement and semantic foundations for the Revenue data layer.

You will mentor analysts, shape architecture, and work across dbt, BI tools, and modern data platforms to deliver trusted data for revenue operations and executive reporting.