# Analytics Engineer, Conversational Analytics at Ro

- Company: Ro
- What the company does: Ro is a telehealth company connecting patients with US-licensed professionals entirely online. Get treatment now for weight loss, sexual health, hair loss, fertility, & more. Backed by General Catalyst.
- Company website: https://ro.co/
- Type: Startups
- Level: Mid level
- Location: New York, NY
- Work setup: Hybrid
- Pay: $137K to $166K base salary per year (USD)
- Posted: 2026-09-16
- Apply by: 2026-10-31
- Apply: https://jobs.lever.co/ro/3910baa9-f961-4380-ad0a-01deec07f7a2
- Page: https://www.1752.vc/careers/jobs/ro-analytics-engineer-conversational-analytics/

## About the role

We are looking for an Analytics Engineer who will supercharge the organization by more fully unlocking Conversational Analytics. You thrive in a startup setting, where every day is different and the problems that you’re tackling don’t have established solutions. 1) building data models/semantic models, documentation, context, and evaluations to strengthen our LLMs’ ability to consistently achieve the correct answers, and

## What they're looking for

- For the first 2-3 months, embed with a stakeholder team to dive into day-to-day analyst work, build stakeholder relationships, and develop business fluence
- Build foundational data models, semantic models, documentation, and context that power conversational analytics across a variety of data domains (growth, product, business metrics, operations etc.)
- Approach opaque, unstructured problems by developing core analytic frameworks and standardized semantic models that shape the way the company thinks about our business
- Communicate and collaborate with different stakeholders to identify opportunities and build solutions that standardize our data approach to common problems across the company
- Teach and guide stakeholders on best practices for using LLMs for their own data needs, and distill what works into reusable training materials
- Develop and maintain AI evaluations for conversational analytics, tracking accuracy programmatically and building stakeholder feedback loops

Tags: Data