# Principal Analyst, Data Integration Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 145,000 - 170,000Department [Data Science & Analytics](https://jobicy.com/categories/data-science.md) Employment type Full Time, Job posted26 Jun 2026Apply before26 Jul 2026Experience level Senior Views / Applies 27 / 7 [About company](https://jobicy.com/company/h1.md) [Share](#share) About [H1](https://jobicy.com/company/h1.md) Creating a healthier future worldwide by unlocking and democratizing global access to connected insights for all. * [Health, Wellness & Fitness](https://jobicy.com/company-category/health-wellness-fitness.md) * 2017 Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. 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Upgrade to Plus ### AI Summary H1 is seeking a Principal Analyst, Data Integration to lead the end-to-end process of evaluating and onboarding new data sources into its healthcare data platform. This senior individual contributor role bridges data, engineering, and product, working closely with cross-functional teams to define source schemas, field mappings, and entity resolution rules. The ideal candidate has 8-12+ years of experience in data-focused roles at healthcare or life sciences companies and has personally owned full data integration lifecycles. Responsibilities include scoping, QA, documentation, and post-integration data quality resolution, ensuring that new sources deliver value to clients. This role requires strong judgment on integration risk and clear communication across technical and non-technical stakeholders. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight The role demands senior-level expertise with 8-12+ years of experience and end-to-end ownership of complex data integrations, requiring strong analytical and cross-functional skills. However, it is not the hardest as it does not involve cutting-edge research or extremely novel technologies. ### Salary Analysis Median Highly Competitive USD157,500US Market USD130k – 180k 0 USD198k AI Insight The offered salary range of $145,000-$170,000 is competitive for a Principal Analyst role in the healthcare data industry, aligning closely with market medians for senior IC positions. The market range for similar roles typically spans $130,000-$180,000, so this offer is well within expectations for the level and location. ### Key Skills Data Integration Data Mapping Entity Resolution Data Quality Healthcare Data Product QA Data Governance Technical Documentation Cross-functional Collaboration SQL ### Cover Letter Sample Dear Hiring Manager, I am writing to express my strong interest in the Principal Analyst, Data Integration position at H1. With over 10 years of experience in data integration and healthcare data management, I have successfully led end-to-end onboarding of complex data sources, from evaluation and mapping to QA and launch. I am particularly drawn to H1's mission of improving healthcare outcomes through data, and I believe my expertise in entity resolution, field mapping, and cross-functional collaboration aligns perfectly with this role. In my previous role at a leading health IT firm, I owned the full lifecycle of multiple data integrations, including scoping, schema design, and product QA, while working closely with engineering and product teams to deliver high-quality data to clients. I am confident that my ability to translate commercial needs into technical specifications and my rigorous approach to data quality will add immediate value to H1's Data & Research team. Thank you for considering my application. I look forward to the opportunity to discuss how my skills can contribute to H1's continued growth and impact. Sincerely, [Your Name] Copy ### Possible Interview Questions Walk me through how you would evaluate a new data source from scratch, including the key factors you consider before deciding to integrate it.First, I would assess the source's schema, coverage, freshness, and legal constraints. I'd check if the data aligns with our product needs and identify potential risks in entity resolution. Then I'd produce a scoping assessment detailing what the source can and cannot deliver, and present it to stakeholders to decide whether to proceed.How do you handle conflicts between what the client-facing team expects and what the data can realistically deliver?I would set clear expectations early by communicating the source's capabilities and limitations in non-technical terms. If necessary, I would work with the client-facing team to adjust requirements or find alternative data sources. Throughout the process, I maintain transparent documentation to avoid misunderstandings.Describe a time you resolved a post-integration data quality issue. What steps did you take?In a previous role, we discovered field-level fill rates were lower than expected post-launch. I led a root cause analysis, coordinating with engineering to trace the issue to a mapping error. We corrected the mapping and implemented automated anomaly detection to catch similar issues in the future.What experience do you have with entity resolution and how do you ensure accuracy across different data sources?I have extensive experience with rule-based and probabilistic entity resolution. I start by defining clear matching rules based on common identifiers and attributes. I then validate matches through sampling and manual review. For ongoing accuracy, I set up QA checks to compare match rates and flag anomalies.How do you prioritize competing integration requests from multiple product teams?I evaluate each request based on business impact, technical feasibility, and data quality. I collaborate with product managers to align on priorities and create a roadmap. I also communicate trade-offs clearly so that teams understand the timeline and resource constraints. At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit [h1.co](http://h1.co/) to learn more about us. 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. Working closely with Engineering, Product, and client-facing teams, this group ensures that every data source H1 adds is evaluated rigorously, integrated accurately, and delivered in a way that creates real value for the healthcare and life sciences organizations that rely on our platform. WHAT YOU’LL DO AT H1As 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. 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. 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 will also work directly with client-facing teams to gather requirements before integration decisions are made, translating commercial needs into data specs and data constraints back into product expectations. You will: – Lead structured evaluation of new data sources from scratch — assessing schema, coverage, freshness, legal constraints, and fit against H1’s product needs before any engineering work begins – 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 – 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 YOUYou 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 COMPENSATIONThis role pays $145,000 to $170,000 per year, based on experience, in addition to equity. Anticipated role close date: 08/25/2026 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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