June 2026 archive · For research and skill exploration. Current job availability is unverified.
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Brex

Data Analyst II

Mid-level data analyst driving operational insights and self-service analytics across Brex's fintech platform.

BrexText summary from the June 2026 archive. original source →

The role

This role sits within Brex's Data organization, supporting multiple business functions through analytics and reporting. The analyst will partner with Data Scientists, Engineers, and cross-functional teams to build dashboards, conduct analyses, and deliver data-driven insights that inform strategic decisions in a fast-paced fintech environment.

What you'd do

  • Create business intelligence dashboards and visualizations using tools like Looker or Hex to enable actionable insights
  • Conduct ad-hoc investigations and analyses to uncover trends and provide data-driven recommendations
  • Build self-service data tools and processes enabling business stakeholders to monitor their performance independently
  • Collaborate with data science and engineering teams to identify data sources and develop analytical models
  • Establish and maintain data quality checks to ensure dataset integrity across reports and dashboards
  • Partner with Sales, Operations, Product, and Finance teams to understand needs and deliver tailored analyses
  • Automate recurring analyses and reporting workflows using Python

What they're looking for

  • Minimum 3 years of professional data analytics experience
  • At least 2 years working directly with business teams in Sales, Operations, or Product roles
  • Proficient in SQL including complex queries with CTEs, window functions, and multi-table joins
  • Experience using Python for data analysis, automation, or scripting
  • Hands-on experience with business intelligence and visualization platforms such as Looker, Hex, or Tableau
  • Strong quantitative skills and demonstrated ability to translate data into business insights
  • Excellent communication skills and ability to collaborate across technical and non-technical stakeholders
  • Experience leveraging generative AI and LLM-based tools like Claude Code, Cursor, or GitHub Copilot

Nice to have

  • Familiarity with cloud data platforms including Snowflake, BigQuery, or Databricks
  • Experience with dbt for data modeling and transformation
  • Knowledge of data pipeline orchestration tools such as Airflow
  • Background in fintech, financial services, or payments
  • Comfort thriving in fast-paced, high-growth environments with changing priorities

Summary written by RoleDeck from the original posting. This is an extracted, own-words summary and may contain errors. The original source may have changed or expired.