Principal Analyst (Data Integration)

Join H1, a leading healthcare data platform, as a Principal Analyst in Data Integration. In this senior individual contributor role, you will own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform. You will work closely with Engineering, Product, and client-facing teams to ensure that every data source is rigorously evaluated, accurately integrated, and delivered in a way that creates real value for healthcare and life sciences organizations.

• Posséder l'ensemble du processus d'évaluation, de définition de la portée et d'intégration de nouvelles sources de données dans la plateforme H1.
• Diriger l'évaluation structurée de nouvelles sources de données, en évaluant le schéma, la couverture, la fraîcheur, les contraintes légales et l'adéquation aux besoins du produit H1.
• Collaborer avec les équipes d'ingénierie et de recherche de données pour définir les exigences d'ingestion, les règles de résolution d'entités et les cadences de rafraîchissement pour les nouvelles sources.
• 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
• 8–12+ years in data-focused roles at healthcare data companies, pharma/biotech data vendors, health IT firms, or equivalent
• 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
• 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
• 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
• Comfort working in Jira or Monday in a ticket-based workflow
• 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
• Demonstrated end-to-end ownership of data integrations built from scratch — scoping, field mapping, QA, and handoff — with documentation to show for it
• Exceptional written communication — your documentation is legible, maintained, and actually used
• Experience gathering requirements from client-facing stakeholders and translating them into data or product specifications