Data Analyst

Americas, United StatesRemote

Responsibilities

Build and own analytics data models. Write clean, maintainable SQL against PostgreSQL, Trino, and Apache Iceberg to power core financial metrics, dashboards, and analytical workflows.
Build and iterate on metrics and tables.
Build and iterate on metrics and tables using dbt, surfacing them through dashboards in Metabase to help teams understand transaction volumes, revenue streams, and system performance over time.
Identify structural opportunities for standardizing core business entities, proactively transitioning ad-hoc analytical requests into intuitive, user-friendly self-serve environments.

We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Use SQL as your primary tool, with Python in a notebook environment like Jupyter when helpful, to investigate trends, anomalies, complex profit and loss (P&L) calculations, and trading behaviors, connecting analyses back to real business questions.
Strong SQL fundamentals. Comfortable with joins, CTEs, window functions, and clear query structure across diverse database environments.
Analytics Engineering Familiarity. Prior exposure to building analytical data models or metrics tables using dbt or similar analytics-engineering workflows.
Python & Notebook Proficiency.
Comfortable using SQL as the primary analysis tool, with the ability to use Python (Pandas, NumPy) and Jupyter Notebooks for deeper, more efficient programmatic analysis.

Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.
Competitive Salary & Stock Options Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card