# Senior Analytics Engineer at Mercury

- Company: Mercury
- What the company does: Everything you do with money. All in one place. Apply in 10 minutes for business banking that transforms how you operate. Backed by Sequoia, a16z and 500 Global.
- Company website: https://mercury.com/
- Type: Startups
- Level: Senior
- Location: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
- Work setup: Remote
- Posted: 2026-10-05
- Apply by: 2026-11-19
- Apply: https://job-boards.greenhouse.io/mercury/jobs/6217794004?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/mercury-senior-analytics-engineer/

## About the role

Mercury has a similar challenge with data. Teams, models, and AI agents need data that they can find, understand, and trust. We are building an AI-native data platform that enables Mercury to have reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments
- Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt Agent (Ralph) that are built and managed by our Analytics Engineers
- Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support
- Help us implement the data and analytics products we’ll need to effect our bank charter
- Contribute to the evolution of our data quality, governance, and security strategies
- Contribute to our definition of Analytics Engineering standards and best practices

Tags: Data

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/mercury-senior-analytics-engineer/