Brex

Data Analyst III

Senior analyst at a fintech platform owning end-to-end analytics for business areas, building dashboards, and mentoring junior analysts in a New York hybrid role.

Captured June 2026Closed as of Oct 11, 2026 ↗

The role

This senior analytics role owns the full analysis cycle for assigned business units, from framing questions through presenting recommendations to leaders. It sits between analytics, analytics engineering, and business strategy within the company's Data organization. The analyst also acts as a technical lead, setting team standards and working alongside data scientists and engineers.

What you would do

  • Drive analytics work end to end for assigned business units, from scoping questions through to presenting results
  • Create dashboards and self-service reporting so business teams can monitor performance and spot risks
  • Write robust SQL and Python to pull, reshape, and analyze large datasets
  • Work with data engineers and scientists to shape analytical data models, pipelines, and data quality
  • Advise leaders across sales, operations, product, and finance to surface and act on high-impact opportunities
  • Coach junior analysts and help set team standards, documentation, code review, and frameworks
  • Spot gaps in data infrastructure and propose tooling and process improvements

What they asked for

  • 5+ years in analytics, business intelligence, or a comparable quantitative role
  • 3+ years as an embedded analytics partner to sales, operations, product, or similar teams
  • Advanced SQL, including CTEs, window functions, and query optimization on complex models
  • Python proficiency for analysis, automation, and modeling with common data libraries
  • Hands-on work with cloud warehouses, Snowflake in particular
  • Practical experience with BI and visualization tools
  • Strong ability to explain technical findings to non-technical audiences
  • Experience using generative AI and LLM coding tools to speed up analysis and reporting

Nice to have

  • Applied statistical methods such as regression, classification, or experiments
  • dbt for modeling and transformation
  • Airflow or similar orchestration for pipelines
  • API-based data ingestion
  • Git version control
  • Fintech, financial services, or payments background
  • Track record leading cross-functional analytics projects
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