Senior Data Engineer & Analyst

Evvy•New York, NY

9d•Hybrid

About The Position

Evvy is a precision women’s health company leveraging the vaginal microbiome to improve outcomes across a woman's lifespan. They are seeking a Senior Data Engineer & Analyst to partner across the full stack of Evvy’s data ecosystem. This role requires a blend of data engineering and analytics expertise. The successful candidate will collaborate with tech teams and leaders across various departments to design, build, and maintain a modern data architecture. This position offers a unique opportunity to own the full data stack, from data engineering to analytics and insights, contributing to the transformation of vaginal healthcare through data. The role is primarily in-person, based in New York, NY.

Requirements

4-5 years of data analytics, analytics engineering or data engineering experience at a startup
Experience with ecommerce data and analytics (cohorting, waterfall visualization, LTV, retention, forecasting)
SQL wizard, Python experienced, data modelling expert, Git (version control) proficiency
Experience with and opinions on our current data stack - ETL tool like Stitch, Snowflake, DBT for data modelling, Metabase (or similar)
A deep understanding of the strengths and pitfalls of traditional BI teams.
Experience across the traditional BI setup, knowing when not to reinvent the wheel, but also when to break the mold.
AI-native by default and excited to integrate AI into Evvy’s data analytics workflows, continuously exploring and leveraging new technologies to improve our data stack.
An owner and a self-starter who can see the big picture of how data serves our company’s mission and guide improvements proactively.
Strong written and verbal communication, able to work effectively with technical and non-technical teams.
Understand key business concepts and can frame out analyses to answer business questions provided guidance from non-technical teammates.

Nice To Haves

First or early data hire at an early stage startup
Experience with HIPAA and working with sensitive health data

Responsibilities

Own our data end-to-end, overseeing the entire data lifecycle from ingestion, transformation, data modelling, analysis, and reporting.
Collaborate with cross-functional teams to understand stakeholder questions, translating them into clear analytical workflows that inform decisions at all levels of the company.
Develop our data infrastructure, including building and maintaining robust ETL pipelines, our data warehouse, and BI platform.
Explore, evaluate, and integrate AI & new data technologies to continuously improve data utilization.
Partner with business stakeholders to understand key business needs and build intuitive data models to empower self-service analytics.
Build out our semantic layer, defining and evolving shared data and context for AI tools (LLMs, agents).
Conduct advanced data analytics, including LTV, retention, lab operations, and clinical treatment efficacy.
Establish data best practices, championing data governance, version control (Git), rigorous documentation, and organization.