Principal Analyst, Data Integration

US Remote · Principal

Sponsorship not specified$145k-$170kDetected 26 days ago

DartData StructuresSQLAWSJiraSPSSResearchCommunication

About the role

The Data & Research team is responsible for the end-to-end lifecycle of H1's data - from source acquisition and onboarding through normalization, entity resolution, and product delivery.
This is a senior IC role at the intersection of data, engineering, and product - the connective tissue between raw data acquisition and what ultimately ships to clients.

AT H1 As a Principal Analyst, Data Integration, you will own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform.
You will work across Data & Research, Engineering, and Product to define what a new source is, how it maps to H1's schemas, what it can realistically deliver, and what it can't.
You operate with strong judgment about where integration risk lives, and you communicate clearly to both technical partners and client-facing stakeholders about what data can and cannot do.
Own field mapping from source to H1's bronze/silver/gold layers, producing data dictionaries, entity definitions, and structural guidance for downstream teams
Partner with engineering and Data Lake to define ingestion requirements, entity resolution rules, and refresh cadences for new sources
Gather requirements from client-facing teams and translate them into integration specifications; serve as the authoritative voice on what a new source can and cannot deliver before product commitments are made -

ability to ramp on new datasets and source types each quarter without needing deep subject matter expertise upfront
Familiarity with data lake architectures (bronze/silver/gold or equivalent) and how raw data moves through normalization and entity resolution to a product-ready state
Experience gathering requirements from client-facing stakeholders and translating them into data or product specifications
Experience at a B2B data company where you understood how external clients consumed your data and where client retention drove decisions
Comfort working in Jira or Monday in a ticket-based workflow
You are comfortable working across ambiguous, novel data structures and can ramp quickly on new source types each quarter.

Analytical fluency to assess data quality
hands-on experience with tools such as VBA, R, or SPSS
SQL a plus but not a primary requirement
AWS infrastructure familiarity (Athena, S3, Glue) at a query and inspection level preferred

At H1, we believe access to the best healthcare information is a basic human right.
This promotes health equity and builds needed trust in healthcare systems.

Our mission is to provide a platform that can optimally inform every doctor interaction globally.
Visit h1.co to learn more about us.

H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities.
If you require an accommodation, please reach out to your recruiter once you've begun the interview process.
equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with
equal opportunity for all applicants and teammates.

This listing is sourced directly from H1's careers page and normalized into a canonical job model.