# Analytics Engineer at Endowus

- Company: Endowus
- What the company does: Endowus offers holistic wealth management across CPF, SRS and cash with globally diversified portfolios and low fees, personalised to you. Start your journey — invest with clarity today. Backed by Lightspeed.
- Company website: https://endowus.com/
- Type: Startups
- Level: Mid level
- Location: Remote (US)
- Work setup: Remote
- Posted: 2026-08-26
- Apply by: 2026-10-12
- Apply: https://endowus.careers-page.com/jobs/355479d9-d488-4b30-80ee-2f2909d6a15a
- Page: https://www.1752.vc/careers/jobs/endowus-analytics-engineer/

## About the role

We are hiring our first Analytics Engineer to build the data models and metric definitions that power analytics across Endowus. Reporting to our Data Analytics Manager, you will develop and own our data models on dbt, the automated tests that keep them reliable, and the metric definitions feeding our semantic layer and BI tools. You will design models that enable core teams including Product, Marketing, and Operations to get to answers faster.

## What they're looking for

- SQL depth. You have 1 to 3 years of hands-on SQL experience, using CTEs, window functions and nested structures to build performant, reusable logic
- Engineering mindset. You take a structured approach to analytics, using version control, code reviews, and testing to build maintainable models
- Systems thinking. You view source data, transformations, semantic layers, and BI as one connected system, anticipating downstream impacts before modifying a model or definition
- Clear technical writing. You write clear specs, documentation, and metric definitions, exercising good judgment to refine AI outputs into concise, human-centered text
- AI-native curiosity. You actively use AI tools to accelerate your work, driven by a genuine curiosity about our data and business
- Comfort with ambiguity. You thrive on loosely defined problems, taking the initiative to gather context, state your assumptions, and move forward