# Data Analyst II

**Company**: Brex LLC
**Location**: São Paulo, São Paulo, Brazil
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Category**: Finance
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/brex/jobs/8463703002
**Canonical**: https://yubhub.co/jobs/job_7f904cf7-7bd

## Description

Join us at Brex, the intelligent finance platform that empowers companies to spend smarter and move faster in over 200 markets. As a Data Analyst II, you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex.

As a member of our Data organization, you will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Responsibilities:

- Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.

- Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.

- Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.

- Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.

- Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.

- Partner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.

- Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements:

- 4+ years of experience in data analytics or a related role in a professional setting.

- 3+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.

- Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).

- Proficiency in Python for data analysis, automation, and scripting (Pandas, NumPy, and similar libraries).

- Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).

- Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.

- Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.

- Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points:

- Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).

- Familiarity with dbt for data modeling and transformation.

- Exposure to data pipeline orchestration tools (e.g., Airflow).

- Experience in fintech, financial services, or payments.

- Comfort operating in a fast-paced, high-growth environment with evolving priorities.

## Skills

### Required
- SQL
- Python
- Business Intelligence
- Data Visualization
- Generative AI
- LLM-based tools

### Nice to have
- Cloud data platforms
- dbt
- Data pipeline orchestration tools
- Fintech, financial services, or payments