Analytics Engineer II

Earnest•San Francisco, CA

1d•Remote

About The Position

Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision. Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together. The Analytics Engineer will report to the Senior Manager, Data Platforms & Analytics Engineering. As the Analytics Engineer II, you will: Build and improve data models that enable faster, more reliable decision-making across Product, Risk, and Analytics Reduce bottlenecks by delivering clean, scalable datasets analysts can trust and use independently Support both roadmap initiatives and ad hoc needs to keep business teams moving without delays Improve data quality and structure so new products and features can be analyzed and launched with confidence

Requirements

3+ years in analytics engineering, data engineering, or similar
Strong SQL and experience building data models that support business use cases
Experience with dbt and modern data warehouses (Snowflake, Redshift, etc.)
Comfortable working cross-functionally and translating messy data into usable insights
Curious, proactive, and motivated to solve problems—not just complete tasks

Nice To Haves

Experience with Airflow or similar orchestration tools
BI tools (Looker, Tableau, etc.)
Exposure to fintech, product analytics, or high-growth environments

Responsibilities

Build and improve data models that enable faster, more reliable decision-making across Product, Risk, and Analytics
Reduce bottlenecks by delivering clean, scalable datasets analysts can trust and use independently
Support both roadmap initiatives and ad hoc needs to keep business teams moving without delays
Improve data quality and structure so new products and features can be analyzed and launched with confidence