Brex

Data Analyst II

Analyst role in São Paulo building dashboards, self-service tools, and ad-hoc analyses that guide business teams like Sales, Operations, and Product.

The role

This individual contributor position sits within Brex's Data organization and supports operational tracking and reporting for several business groups. The analyst works alongside data scientists and engineers to turn data into visual reports, self-service resources, and targeted investigations. The role is based in the São Paulo office under a hybrid schedule.

What you would do

  • Build business intelligence dashboards and visual reports that surface actionable findings
  • Run exploratory investigations to answer business questions and recommend next steps
  • Create self-service data resources so stakeholders can track their own area's performance
  • Coordinate with data scientists and engineers to source data and shape models feeding reports
  • Set up and maintain data quality checks across datasets used in reporting
  • Work with Sales, Operations, Product, and Finance to scope and deliver tailored analyses
  • Automate recurring reporting and analysis workflows with Python

What they asked for

  • Four or more years of hands-on experience in analytics or a comparable professional role
  • Three or more years partnering directly with business functions such as Sales or Operations
  • Advanced SQL skills, including common table expressions, window functions, and multi-table joins on large data
  • Working proficiency in Python for analysis and scripting with common data libraries
  • Experience with BI and visualization platforms such as Looker, Hex, or Tableau
  • Strong quantitative reasoning and ability to convert findings into business guidance
  • Clear communication with stakeholders at varied levels of technical familiarity
  • Hands-on use of generative AI coding and analysis assistants to speed up analytical work

Nice to have

  • Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Databricks
  • Working knowledge of dbt for transforming and modeling data
  • Exposure to orchestration tools like Airflow
  • Background in fintech, financial services, or payments
  • Comfort in fast-moving, high-growth settings where priorities shift
Selected employer postings. AI-assisted summaries may contain errors. This is not a market-wide sample. Independent of the companies listed.