Pomelo Care
Analytics Engineer, Payer Impact (San Francisco, hybrid)
Pomelo Care, San Francisco, California, United States, 94199
Analytics Engineer, Payer Impact (San Francisco, hybrid)
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 Payer Impact team and help build Pomelo’s data and analytics foundation. As an analytics engineer, you will:
Architect and build core data models that power insights that measure the impact of Pomelo programs and enable us to tell our story externally. 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 on the Payer Impact team, and translate requirements into robust data models that enable data scientists and data‑savvy stakeholders.
Identify opportunities to reduce manual time spent on reporting, and implement solutions using the appropriate technical tools.
Productionize prototype models developed by our healthcare econ team such as cost projection models.
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.
Experience transforming data using Python.
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.
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:
Generous equity compensation
Unlimited vacation
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.
Equal Employment Opportunity
We do not discriminate on the basis of any protected group status under any applicable law.
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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 Payer Impact team and help build Pomelo’s data and analytics foundation. As an analytics engineer, you will:
Architect and build core data models that power insights that measure the impact of Pomelo programs and enable us to tell our story externally. 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 on the Payer Impact team, and translate requirements into robust data models that enable data scientists and data‑savvy stakeholders.
Identify opportunities to reduce manual time spent on reporting, and implement solutions using the appropriate technical tools.
Productionize prototype models developed by our healthcare econ team such as cost projection models.
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.
Experience transforming data using Python.
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.
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:
Generous equity compensation
Unlimited vacation
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.
Equal Employment Opportunity
We do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr