Analytics Engineer, Conversational Analytics

New York, NY

Live, first seen by us 49 days ago

Pay: $137,300–166,000/year · BaseAnnual period assumed — pay source
We are open to data analysts with demonstrable interest and project experience who are looking to make the transition to analytics engineer The target base salary for this position ranges from $137,300 to $166,000 in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide.
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Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Build foundational data and semantic models for conversational analytics across business domains
Develop and maintain AI evaluations that track conversational analytics accuracy
Teach stakeholders best practices for using LLMs on their own data needs
Embed with a stakeholder team for the first 2-3 months to learn day-to-day analyst work

From the employer’s posting

Build foundational data models, semantic models, documentation, and context that power conversational analytics

Develop and maintain AI evaluations for conversational analytics, tracking accuracy programmatically

Teach and guide stakeholders on best practices for using LLMs for their own data needs

For the first 2-3 months, embed with a stakeholder team to dive into day-to-day analyst work

What you’ll bring

All qualifications

Core experience

4+ years in quantitative analysis, partly in dbt data modeling
Expert-level SQL
Hands-on experience using LLMs for coding and analytics and building data products
Experience with BI tools such as Hex and Looker
Strong communication and teaching skills

Qualification wording

4+ years of full-time working experience in quantitative analysis roles, with a portion of that time focused on data modeling in DBT

Expert-level SQL skills

Hands-on experience using LLMs for coding and analytics, going beyond asking simple questions and building data products through LLM workflows

Experience using BI tools (ours are Hex and Looker) to effectively convey information

Strong communication and teaching skills

Apply at Ro

Posting record

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Status in our records: Live
First seen by us: Sep 17, 202649 days ago
Recorded sightings: 30
Last seen by us: Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$137K–$166K against $122K–$190K, the middle half of what similar US postings state.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 49

Up longer than most. Similar jobs usually come down between day 6 and day 48.

From 1,457 similar postings that came down. Coming down is not always a hire.

Ro is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

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Where the posting names them

- Hands-on experience using LLMs for coding and analytics, going beyond asking simple questions and building data products through LLM workflows - Expert-level SQL skills - Experience using BI tools (ours are Hex and Looker) to effectively convey information

What You’ll Bring to the Team - 4+ years of full-time working experience in quantitative analysis roles, with a portion of that time focused on data modeling in DBT - Hands-on experience using LLMs for coding and analytics, going beyond asking simple questions and building data products through LLM workflows

- Expert-level SQL skills - Experience using BI tools (ours are Hex and Looker) to effectively convey information - Strong communication and teaching skills

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Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Join Tech @ Ro to build the future of healthcare, from the ground up!

At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients.

We’re building a new system. One where the patient is in control. One designed from scratch for the digital age.

At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients.

…and we’re just getting started.

As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to:

Solve complex, high-concurrency problems across a full-stack platform
Build and ship quickly with tight feedback loops and real-world impact
Own systems end-to-end, from architecture to production performance
Work alongside experienced operators, technical leaders, and clinicians
Help define how modern healthcare should be delivered

We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it.

If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us.

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.

The role will have two primary focuses:

1) building data models/semantic models, documentation, context, and evaluations to strengthen our LLMs’ ability to consistently achieve the correct answers, and
2) training non-data stakeholders to more efficiently and effectively interact with our data stack.

You will start your time by diving deep into day-to-day analyst work and as you build a strong understanding for how data is used by end stakeholders and build business context. You’ll then transition to building out tooling that allows stakeholders to self-service via Conversational Analytics. You take pride in developing tools, processes, and working frameworks and teaching your colleagues how to use them to better leverage data to generate insights and operationalize data. You have a bias for action, strong communication skills and a continual learning mindset.

What You'll Do

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

What You’ll Bring to the Team

4+ years of full-time working experience in quantitative analysis roles, with a portion of that time focused on data modeling in DBT
Hands-on experience using LLMs for coding and analytics, going beyond asking simple questions and building data products through LLM workflows
Expert-level SQL skills
Experience using BI tools (ours are Hex and Looker) to effectively convey information
Strong communication and teaching skills
Strong problem solving skills, analytical aptitude, and numerical dexterity
Demonstrated track record of project ownership

Nice-to-haves

Experience with AI evaluation of LLM tools
Experience developing data pipelines and processes
We are open to data analysts with demonstrable interest and project experience who are looking to make the transition to analytics engineer

The target base salary for this position ranges from $137,300 to $166,000 in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary.

Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide.

At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law.

Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co.

See our California Privacy Policy here.

Employment type

Full-time

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