Principal Analyst, Data Integration

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 - Shepherd each source end-to-end: scoping → QA → entity matching → product launch, including product QA and communicating source capabilities and limitations to product and enablement partners - Work with the Insights team to develop new taxonomies and QA mechanisms for novel data types - Define acceptance criteria and lead QA validation including field-level fill rates, count comparisons, and cycle-over-cycle anomaly detection - Investigate and resolve data quality issues post-integration, coordinating with DART and engineering as needed - Hand off to the maintaining team with complete mapping documentation; you own onboarding, not ongoing maintenance - Produce and maintain documentation other people actually use — across scoping assessments, field mapping specs, and post-mortems ABOUT YOU You are a senior data professional who has personally owned the full lifecycle of a data integration — not just contributed to one. You are comfortable working across ambiguous, novel data structures and can ramp quickly on new source types each quarter. 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.

REQUIREMENTS - 8–12+ years in data-focused roles at healthcare data companies, pharma/biotech data vendors, health IT firms, or equivalent - Demonstrated end-to-end ownership of data integrations built from scratch — scoping, field mapping, QA, and handoff — with documentation to show for it - Healthcare or life sciences domain context required; ability to ramp on new datasets and source types each quarter without needing deep subject matter expertise upfront - 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 - 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 - AWS infrastructure familiarity (Athena, S3, Glue) at a query and inspection level preferred - Comfort working in Jira or Monday in a ticket-based workflow - Exceptional written communication — your documentation is legible, maintained, and actually used

COMPENSATION This role pays $145,000 to $170,000 per year, based on experience, in addition to equity. Anticipated role close date: 08/25/2026 \n \n H1 OFFERS - Full suite of health insurance options, in addition to generous paid time off - Pre-planned company-wide wellness holidays - Retirement options - Health & charitable donation stipends - Impactful Business Resource Groups - Flexible work hours & the opportunity to work from anywhere - The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law. 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. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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