About the role

Role Overview

Join Common Room as a Data Analyst / Engineer to transform billions of daily events and user actions into actionable insights. You’ll work with stakeholders across Product, GTM, and Leadership to define metrics, build datasets, and create dashboards that support better decision-making.

Key Responsibilities

Transform data into insights for internal teams and customers.
Partner with stakeholders to define metrics, build datasets, and deliver dashboards.
Design and maintain scalable data models that serve as the foundation for analytics.
Ensure data quality and accessibility.
Build and scale ETL pipelines and data warehouse-powered analytics systems.
Participate in key company-building initiatives.

Requirements

Experience with modern analytics tooling, including dbt, Snowflake, and BI tools such as Looker, Hex, or Mode.
Strong judgment around tradeoffs; preference for supported, stable technologies over hype.
Ability to build clean, scalable, and reliable data models.
Experience with AWS, Postgres, and Node.js.
Great collaboration with other engineers (including frontend/app engineers).
5+ years of experience, including 2+ years with ETL pipelines and data warehouses.
Consider observability, SLA, and scalability implications without premature optimization.
Operate independently with strong ownership and accountability.

Nice-to-Haves

Comfort owning large backend-domain projects end-to-end.
Strong time/prioritization skills for sustainable delivery.

About Common Room

Common Room is a fast-growing startup that turns large volumes of user and event activity into actionable insights. The role focuses on building analytics datasets, dashboards, and reliable data models to support internal teams and customers across Product, GTM, and leadership.