# Data Analyst II

**Company:** [Brex](https://hotfix.jobs/companies/brex)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $94k – $117k/yr
**Experience:** 3+ years
**Skills:** SQL, Python, Looker, Hex, Tableau, Snowflake, BigQuery, dbt, Airflow, Github Copilot
**Posted:** 2026-03-14

> Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in fintech. Requires 3+ years experience.

## Job Description

## What you’ll do
As a Data Analyst II, you will enhance operational tracking and reporting for business teams. Work with Data Scientists, Engineers, and partners to drive insights via visualizations, self-service tools, and ad-hoc analyses in a fast-paced fintech environment.

## 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 performance and health.
- Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support analytical data models.
- Implement and maintain rigorous data quality checks for datasets used in dashboards, reports, and analyses.
- Partner with departments—including **Sales**, **Operations**, **Product**, and **Finance**—to deliver tailored analyses and reporting.
- Contribute to automation of recurring analyses and reporting workflows using **Python**.

## Requirements
- 3+ years of experience in data analytics or related role.
- 2+ years working directly with Sales, Operations, Product, or equivalent teams.
- Fluency in **SQL** (CTEs, window functions, joins across large datasets).
- Experience with **Python** for data analysis, automation, or scripting.
- Experience with BI and visualization tools (**Looker**, **Hex**, **Tableau**, or similar).
- Strong quantitative and analytical skills to translate data into business insights.
- Strong communication skills for stakeholders across functions.
- Experience with generative AI and LLM-based tools (**Claude Code**, **Cursor**, **GitHub Copilot**).

## Bonus points
- Familiarity with cloud data platforms (**Snowflake**, **BigQuery**, **Databricks**).
- Familiarity with **dbt** for data modeling and transformation.
- Exposure to data pipeline orchestration tools (**Airflow**).
- Experience in fintech, financial services, or payments.

## Compensation
Expected salary range: **$93,600 - $117,000** base pay, depending on location, skills, experience, market demands, and internal pay parity. Equity and other compensation may be provided.

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