Lead Analyst

Department: Product

Location: United States

Compensation: $120K – $180K • 0.05% – 0.2%

Employment Type: FullTime

This role does not provide visa sponsorship

US-only / No contractors / No recruiters

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Summary

Position: Full-time Lead Analyst

Location: You must live in the U.S. permanently

Salary: $120,000 – $180,000

Equity: 0.05% – 0.20%

Benefits: Health, Dental, Vision

PTO: Flexible

Our Mission: Make optimal health humanity's new baseline.

About Rythm Health

Rythm Health sends you an easy, painless at-home kit to collect your own blood sample. Your results show up in a private, HIPAA-compliant dashboard, where you can see how your biomarkers change over time and learn what they mean for your health.

We're a small, fast-moving team building something that genuinely matters. Everyone here does real work — there's no layer of abstraction between you and the decisions that shape the company.

About This Role

This is the first analytics hire at Rythm Health. We're in hyper growth mode and we need someone who can build our analytics practice, turn our data into clear answers — and ask better questions than anyone gave them.

You will own the analytics function, work directly with the executive team, and have a direct line between your analyses and the choices we make on product, retention, marketing, and growth. If you've ever wanted your work to matter immediately, this is that job.

What You'll Do

• Own our analytics infrastructure end-to-end — from data pipelines and dashboards to ad hoc deep dives.

• Build and maintain the metrics that guide how we operate: retention, churn, activation, engagement, LTV, and everything in between.

• Work with engineering to develop infrastructure and processes like data warehousing, A/B testing, etc.

• Identify the patterns in our data that aren't obvious — and turn them into recommendations leadership can act on within days, not quarters.

• Partner directly with founders and execs on growth experiments, pricing analysis, and product decisions.

• Document your work so others can move fast.

This job is right for you if you…

• Live and work in the U.S. and communicate clearly in English.

• Have strong quantitative fundamentals and both an academic and intuitive understanding of math and statistics.

• Can do this job without leaning on AI to think for you. We want the analyst, not the prompt.

• Fluent with AI tools that have allowed you to 10x compared to pre-AI.

• Have 5+ years of hands-on analytics experience — ideally at a consumer company.

• Write SQL the way other people write English — fluently and without thinking about it.

• Are comfortable working in a fast-paced startup where the playbook is still being written.

• Can manage your own priorities, break down ambiguous problems, and deliver without being asked twice.

• Can use your own dashboards and reporting to give recommendations and drive next steps.

• Are not submitting an AI resume. (If you are human, please say so in your application.)

You're an excellent fit if you…

• Have experience with subscription businesses and understand the mechanics of churn, cohort retention, and LTV modeling.

• Are comfortable with HIPAA-adjacent data and understand what responsible handling looks like in practice.

• Have experience with tools like Claude Code, Cursor, Snowflake, Sigma, Posthog, or similar — and can set up what we don't yet have.

• Are comfortable coding in python or other programming languages.

• Have worked directly with founders or executives and know how to communicate findings without burying the lede.

• Know when a chart is the right answer and when a single sentence is better.

Hiring Process

We are intentionally keeping this short. We respect your time.

1. 30-minute intro call with Kejia (VP of Product and Growth) — chat about Rythm, the role, and your background.

2. 1-hour session with Kejia discussing realistic hypotheticals and more in depth questions on your experience.

3. 1-hour technical exercise with engineering doing a realistic exercise using anonymized Rythm-style data. Walk through your thinking as you work with the data.

4. Reference checks.