Intro

Riverbend Labs is looking for an experienced Data Analyst to help scale our Data & Analytics function as the company grows.

We move quickly, communicate directly, and give people the autonomy to do their best work without unnecessary process.

About the team

Data & Analytics at Riverbend Labs is a small, tight-knit group that values craftsmanship and clear thinking over busywork.

We believe in shipping iteratively, learning from real feedback, and cutting anything that doesn't serve the goal.

Candidate Responsibilities

Partner with stakeholders to define metrics and KPIs
Design and run experiments to inform product decisions
Build and maintain data pipelines
Build and maintain dashboards for key business metrics
Communicate analytical findings to non-technical audiences

Candidate Profile

Strong SQL skills
3+ years of experience in a data-focused role
Comfort working with large, messy datasets
Experience with a BI tool (Looker, Tableau, or similar)

Nice to have

Experience with Python or R for analysis
Familiarity with data warehouse tools (BigQuery, Snowflake)
Experience with experimentation/A-B testing frameworks

Recruiting Process

Our hiring process starts with a short online screening test tied to this posting — usually under 21 minutes — so you can demonstrate your skills directly instead of relying on a generic application.

If you pass the test(s) attached to this role, your application moves straight to our hiring team for review, typically within 2 business days.

From there, expect two to three conversations with the team and hiring manager, followed by a decision and offer. We aim to keep the whole process under 3 weeks from start to finish.

Data Analyst (Data & Analytics)