Tech Stack

Description

As a senior Data Analyst at Brex, you will own the end-to-end analytics lifecycle for business areas like Sales and Product, framing questions, conducting rigorous analyses, and translating findings into recommendations for leadership. You'll work in a modern data stack, mentor junior analysts, and partner with Data Scientists and senior leaders in a hybrid New York office environment.

Requirements

• 5+ years in data analytics, business intelligence, or quantitative role
• 3+ years partnering directly with Sales, Operations, or Product as embedded analytics partner
• Advanced SQL (CTEs, window functions, performance optimization)
• Proficiency in Python (Pandas, NumPy, scikit-learn) for data analysis and automation
• Experience with cloud data warehouses, especially Snowflake

Responsibilities

• Own analytics lifecycle for assigned business areas: problem framing, data sourcing, analysis, insight generation, stakeholder presentation
• Build dashboards and self-service reporting tools for business teams
• Write production-quality SQL and Python to extract, transform, and analyze data at scale
• Collaborate with Data Engineers and Data Scientists to develop analytical data models and ensure data quality
• Mentor junior analysts and contribute to team standards, documentation, and code review practices