Senior Revenue Analytics Engineer - Data Products & AI (Remote)

Affirm; Dallas (TX); On-site; USD 195,000 - 255,000; Full time

Benefits offered by this job

Health coverage for you and dependents

Flexible Spending Wallets for tech/ay/

Time off and holidays

Employee stock purchase plan (ESPP)

Job summary

Affirm is recruiting an experienced analytics engineer to join the Revenue Analytics team. You will develop scalable data products, model revenues, and build trusted metrics, dashboards, and governance across the Revenue data layer.

You will lead AI-enabled analytics initiatives and drive quality, documentation, and cross-team collaboration. You will mentor analysts and partner with cross-functional teams to deliver durable, scalable solutions that empower revenue decisions and reporting for the

Qualifications

• 7+ years in analytics engineering, BI, data engineering or related technical analytics role.
• Strong SQL, dbt, data modeling and metrics design fundamentals.
• Experience with BI tools and cloud data warehouses.

Responsibilities

• Lead high-impact data product initiatives for Revenue, from problem definition to design, implementation, rollout and adoption.
• Advance AI initiatives within the Revenue data ecosystem with semantic, metadata, and quality foundations.
• Design and build durable data products powering revenue operations, reporting, and self-service.
• Set technical direction for Revenue's data layer, including modeling, governance and access controls.
• Identify opportunities to simplify and scale analytics through better data architecture and tooling.
• Provide technical leadership and mentorship to analysts and cross-functional partners.

Skills

SQL

dbt

data modeling

metrics design

data quality

documentation

analytics engineering

AI enablement

leadership

Tools

Looker

Sigma

Tableau

Snowflake

Databricks

Job description

Affirm is recruiting an experienced analytics engineer to join the Revenue Analytics team. You will develop scalable data products, model revenues, and build trusted metrics, dashboards, and governance across the Revenue data layer.

You will lead AI-enabled analytics initiatives and drive quality, documentation, and cross-team collaboration. You will mentor analysts and partner with cross-functional teams to deliver durable, scalable solutions that empower revenue decisions and reporting for the