Revenue Analytics Engineer — Remote, Data Products & AI

Affirm; Miami (FL); On-site; USD 195,000 - 255,000; Full time

Benefits offered by this job

Health care coverage for you and your

Flexible Spending Wallets

Time off

Employee Stock Purchase Plan (ESPP)

Job summary

Affirm is seeking an experienced analytics engineer to join the Revenue Analytics team. You will lead scalable data products, define the semantic foundations for AI enablement, and shape the data layer for revenue operations.

You will mentor analysts, drive end-to-end implementation, and partner with stakeholders to deliver durable, trusted analytics solutions across multiple audiences. This is a remote-first role within the United States.

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, and cloud warehouses such as Snowflake, plus platforms like Databricks.
• Solid understanding of foundations for reliable AI—semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality; experience applying AI in analytics workflows.
• Demonstrated ability to independently lead complex, ambiguous projects by defining scope, sequencing work, and delivering durable technical solutions.
• Experience designing scalable data products for multiple audiences and influencing technical/non-technical stakeholders.
• 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 use cases and establishing semantic, metadata, context, quality, and evaluation foundations.
• Design and build durable, well-tested data products powering revenue operations, 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 to raise data product quality and impact.

Skills

Analytics engineering

SQL

Data modeling

Metrics design

Data quality

Documentation

AI enablement

Tools

dbt

Snowflake

Databricks

Looker

Tableau

Sigma

Job description

Affirm is seeking an experienced analytics engineer to join the Revenue Analytics team. You will lead scalable data products, define the semantic foundations for AI enablement, and shape the data layer for revenue operations.

You will mentor analysts, drive end-to-end implementation, and partner with stakeholders to deliver durable, trusted analytics solutions across multiple audiences. This is a remote-first role within the United States.