Remote Revenue Analytics Engineer – Full Stack

Affirm; Richmond (VA); On-site; USD 195,000 - 255,000; Full time

Benefits offered by this job

Healthcare coverage for you and depend

Flexible Spending Wallets

Paid time off

Employee stock purchase plan

Job summary

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We are seeking an experienced analytics engineer to lead scalable data products powering Revenue's reporting, AI enablement, and governance. This remote-first role offers cross-functional impact and the chance to shape our data layer and semantic foundations for ambitious analytics teams.

Qualifications

• 7+ years of experience in analytics engineering, BI, data engineering, data product development, 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 AI foundations for analytics – semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality – with experience applying AI tools in analytics 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 workflows, and establishing semantic, metadata, context, quality, and evaluation 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 how data products are designed, built, and maintained.

Skills

SQL

dbt

Data modeling

Metrics design

Data quality

Documentation

Analytics engineering practices

Tools

Sigma

Looker

Tableau

Snowflake

Databricks

Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We are seeking an experienced analytics engineer to lead scalable data products powering Revenue's reporting, AI enablement, and governance. This remote-first role offers cross-functional impact and the chance to shape our data layer and semantic foundations for ambitious analytics teams.