Analytics Engineer, People Data

Affirm, a pioneering fintech company revolutionizing the credit industry, is seeking an Analytics Engineer to join their People Analytics organization. This role represents a unique opportunity to shape the data infrastructure that powers human capital decisions at a rapidly growing company.

The position combines technical expertise in data engineering with the strategic importance of people analytics. As an Analytics Engineer, you'll be responsible for building and maintaining the data foundation that supports all people-related decisions across talent acquisition, total rewards, and employee development. The role requires expertise in modern data tools including dbt, SQL, Python, and cloud data warehousing solutions like Snowflake.

What makes this role particularly compelling is its impact on Affirm's growth and culture. You'll be working with sensitive people data that directly influences how the company hires, develops, and retains talent. The technical challenges are significant - from designing efficient ETL pipelines to implementing sophisticated data models - but the business impact is equally rewarding.

The ideal candidate will bring both technical depth and business acumen. You'll need to understand not just how to build data infrastructure, but why certain metrics matter for people analytics. The role offers significant autonomy in architectural decisions while requiring close collaboration with stakeholders across the organization.

Affirm offers an attractive compensation package, including a base salary range of $124,000 - $190,000 (varying by location), equity compensation, and comprehensive benefits including fully covered healthcare for employees and dependents. The company's remote-first culture provides flexibility while maintaining strong team connections.

This position is perfect for someone who wants to combine their love of data engineering with meaningful impact on company culture and employee experience. You'll be working with cutting-edge tools, tackling complex technical challenges, and directly influencing how a fast-growing fintech company makes people-related decisions.