Senior Analytics Engineer
United States
Full Time Senior-level / Expert USD 160K - 190K
Pomelo Care
Pomelo is a virtual maternity care program that supplements traditional pregnancy care with unlimited, customized support. Ask a dietitian about prenatal vitamins, speak to a therapist about labor anxiety, or join a prenatal group. Become a...About us
Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are transforming outcomes for pregnant people and babies with evidence-based pregnancy and newborn care at scale. Our technology-driven care platform enables us to engage patients early, conduct individualized risk assessments for poor pregnancy outcomes, and deliver coordinated, personalized virtual care throughout pregnancy, NICU stays, and the first postpartum year. We measure ourselves by reductions in preterm births, NICU admissions, c-sections and maternal mortality; we improve outcomes and reduce healthcare spend.
Role Description
Your North Star: Accelerate time to insight by building the foundational data layer that supports analytics across the organization.
Trustworthy, actionable data plays a critical role in Pomelo’s mission to improve pregnancy outcomes. We’re looking to bring on an experienced analytics engineer to join the team and help build Pomelo’s data and analytics foundation. As an analytics engineer, you will:
- Become an expert in the data that Pomelo has about our patient care and clinical outcomes, and play a foundational role in building the data culture of Pomelo
- Architect and build core data models that power insights across our marketing, product, population health, clinical and partnership teams. For example, you may utilize medical claims to define pregnancy episodes, or combine multiple data sources to more reliably link parents to children.
- Work directly with cross-functional stakeholders and data scientists to understand data needs across the business, and translate requirements into robust data models that enable data scientists and data-savvy stakeholders
- Advise and partner with data scientists on best practices for building robust, efficient data models in the analytics layer that serve the needs of end users
- Develop and codify data best practices through documentation, query optimization, self-service tooling, and testing
- Identify and implement improvements to the quality and reliability of data through data model improvements, better testing, documentation, and self-service tools
Who you are
You are a collaborative problem solver and analytic thinker who is focused on driving impact, and excited to work at a startup. Specifically, you have
- 4+ years professional experience in data science, data engineering, or analytics involving SQL
- 2+ years professional experience working with healthcare data, and claims data in particular
- Experience working in dbt and orchestration platforms like Dagster or Airflow
- Passionate about transforming raw data into structured tables and analytics deliverables
- Excited to work cross-functionally across technical and non-technical stakeholders, including folks who do not share your technical expertise
- Strong communication skills and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
- Familiar with BI tools (e.g. Looker, Metabase, Tableau) and experience distributing insights to cross-functional teams
- Excited to contribute to Pomelo’s mission to improve maternal health outcomes
- (Nice to have) Experience transforming data using Python
Why you should join our team
By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it.
We strive to create an environment where employees from all backgrounds are respected. We also offer:
- Competitive healthcare benefits
- Generous equity compensation
- Unlimited vacation
- Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)
At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.
Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $160,000-$190,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.
Tags: Airflow Dagster dbt Engineering Looker Metabase Python SQL Tableau Testing
Perks/benefits: Career development Competitive pay Equity / stock options Health care Startup environment Team events Unlimited paid time off
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