Sr. Data Analyst

Senior Data AnalystAt 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.As a Senior Data Analyst on the Client Delivery team, you will serve as the bridge between our Commercial stakeholders and data teams — translating business needs into technical data requirements, executing large-scale data extractions, and ensuring the quality and accuracy of every deliverable.The Client Delivery team is responsible for delivering high-quality data insights and analytics that power Commercial and Sales decisions. Our objective is to enable fast, accurate, and scalable data extraction and reporting across large healthcare datasets — supporting strategic initiatives, client deliverables, and pre-sales activities. As a Senior Data Analyst on the Client Delivery team, your day typically includes:Partnering directly with Commercial, Sales, and Business stakeholders to gather, clarify, and translate business requirements into precise technical data specifications.Writing and optimizing complex SQL queries — including joins, CTEs, subqueries, and window functions — to extract and transform large datasets from cloud environments including AWS Athena.Using Python (pandas, NumPy) to automate data workflows, build reusable scripts, and perform data manipulation and validation at scale.Performing rigorous QA and validation on all data deliverables — ensuring accuracy, completeness, and consistency before output reaches stakeholders.Translating complex analytical findings into clear, concise insights and presentations that both technical and non-technical audiences can act on.Managing multiple concurrent data requests and prioritizing competing business needs in a fast-paced, high-ambiguity environment.Supporting pre-sales and RFP activities by providing accurate, timely data outputs to the Commercial team.Collaborating cross-functionally with Operations, Strategy, and Data Engineering to align on data availability, definitions, and methodology.Taking full ownership of deliverables — proactively identifying data gaps, quality issues, or ambiguous requirements and resolving them with minimal supervision.Contributing to analytics best practices, documentation, and self-service reporting capabilities across the team.You are a technically strong data analyst who thrives at the intersection of business and data. You take complex, ambiguous business questions and turn them into structured data requirements, then deliver clean, validated outputs that stakeholders can trust. You are fluent in SQL and Python, comfortable in cloud data environments, and bring the communication skills to make your findings land clearly with non-technical audiences. You manage your own workload, push for quality, and bring a solutions-first mindset to every request. You are equally at home in a stakeholder meeting as you are deep in a query.This role pays $60,000 to $75,000 per year, based on experience, in addition to equity in the form of Restricted Stock Units.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.