About the role
About Evvy At Evvy, we believe the female body shouldn’t be a medical mystery. We are a precision women’s health company leveraging the vaginal microbiome to improve outcomes across a woman's lifespan. Backed by $30M+ from leading investors, we serve over 100,000 patients and 2,000 providers nationwide with our validated Vaginal Microbiome Test and AI-powered personalized care platform. Through this work, we have built the world’s largest dataset on the vaginal microbiome — a proprietary foundation that will drive breakthroughs in infertility, preterm birth, gynecological cancers, and beyond.
Why join now? Evvy is a generational opportunity in women's health — and we're at the inflection point. We’ve built a dataset no one has. Evvy has generated the world’s largest vaginal microbiome dataset from 100,000+ patients, uncovering novel biological markers underlying women’s health conditions that collectively cost the healthcare system $180B+ annually. Validated, AI-first platform. We’ve built a comprehensive testing and care platform that unlocks personalized treatment pathways for each patient. Our work is supported by research published in major peer-reviewed journals and presented at major clinical conferences (including ACOG, ASRM, IDSOG, and more). Proven traction, massive opportunity. We serve 100,000+ patients and 2,000 providers nationwide, with rapidly growing revenue and an expanding suite of diagnostics and treatments to improve outcomes across condition areas. We've only scratched the surface. Top tier team, investors, and partners. Our world-class team is backed by industry leading investors, including General Catalyst, Left Lane Capital, US Fertility, and Labcorp. We're looking for high-horsepower, mission-driven people who find it unacceptable that the female body is still a medical mystery — and want to help change that.
About
the Role We’re looking for our second data hire to partner across the full stack of Evvy’s data ecosystem. You are both a data engineer and an analyst. You are a creative problem-solver, strategic thinker, and a relentless executor. You don’t reinvent the wheel, but also are excited to break the mold of traditional BI. You’ll collaborate closely with our tech team and leaders across finance, marketing, product, operations, and clinical to design, build, and maintain a modern data architecture that drives critical decisions, supports self-service analytics, and fuels rapid, data-driven innovation. This is a unique opportunity to own the full data stack from data engineering to analytics and insights, helping us transform vaginal healthcare through data. Evvy is a primarily in-person team based in New York, NY. Given the cross-functional nature of this role, our ideal candidate is located in NYC. What you’ll do Partner on data projects across the business. Work side by side with our data team to serve cross functional data needs, with each of you taking point on different relationships and projects as the work flows. Drive analytical depth across commercial functions. Marketing attribution and lifecycle, subscription retention and LTV, ops and fulfillment reporting, finance and unit economics, and product analytics in partnership with our PMs. Build and maintain the analytics layer of our dbt project. Marts and intermediate models that serve your stakeholders, with thoughtful documentation, testing, and lineage hygiene — and partnering on the pipelines (mostly Stitch → Snowflake, with the occasional custom extract where Stitch doesn't reach) that feed them. Enable self-service. Designing dashboards, automations, and underlying semantic models so finance, ops, marketing, and clinical leaders can answer their own questions without coming to data for every cut. Design and read out experiments. Partnering with PMs and marketing on A/B tests, retention experiments, and funnel optimization, from hypothesis through statistical readout. Own the analyses that drive decisions. The work that shows up in board decks and exec reviews, including cohort behavior, channel performance, subscription dynamics, and treatment funnel performance. What We’re Looking For 4 to 6 years of experience in analytics engineering, senior analytics, or data analytics roles, ideally with at least some time at a startup or scaling company. Strong SQL and dbt fluency. You're comfortable in a real dbt project, including staging/intermediate/marts layering, macros, tests, and documentation. Snowflake proficiency. Comfortable writing performant queries, understanding warehouse behavior, and partnering on modeling decisions that have cost implications. Comfort with Python for data work. Experience using Python for data transformation, scripting, and analysis — including scripting the occasional custom pipeline where a managed tool falls short. Subscription, ecommerce, or consumer-health analytics background. Cohort retention, LTV, CAC payback, funnel analytics, and subscriber lifecycle should be native vocabulary, not something you're learning on the job. Real experimentation chops. You've designed, run, and read out experiments. You know when a test is underpowered, when a result is suspicious, and how to communicate findings to non-technical stakeholders. Stakeholder partnership instincts. You can take a vague request from marketing or finance, scope it, deliver, and follow up without your manager in the loop. You push back when a stakeholder is asking the wrong question, and you do it diplomatically. Comfort with regulated and sensitive data. You take PHI and PII seriously, you understand why governance exists, and you've worked in environments where data sensitivity shaped your decisions. HIPAA experience is a strong plus, though the right disposition matters more than the specific credential. Strong written communication. Slack threads, dashboards with context, exec-ready writeups. You make complex analyses legible to non-technical readers. It’s a plus if you have Healthtech, digital health, or clinical-adjacent analytics experience First or early data hire experience at an earlier-stage startup Experience working alongside a research or biostats team Curiosity about AI-powered analytics, including what works, what doesn't, and where it actually helps Our Values Start with the why. We tie everything back to a user need or company goal. Figure it out. We take initiative, embrace ambiguity, and build from first principles. Create win-wins. We solve problems with patients, partners, and the business in mind. Own it to the end. We close every loop and take pride in the details. Stay eleven steps ahead. We anticipate, plan, and act with foresight and speed. Company