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H1

Sr. Data Analyst

New YorkHybrid · United States
Senior · Full time · Client Delivery
POSTED 15 SEPTVERIFIED 5H AGO
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Role
55 days opentrue age
Posted 15 Sept
Pay
$144k–$202kno pay posted
Market p25–p75
$144k–$202k
New York · n=42 · 365d to 6 Nov
CompanyH1 →
24open roles
Opened · 30d
+0
Closed · 30d
−3
3d of snapshots · 30d window
Market
1,765open · Senior Analytics / Data science
Opened · 7d
+1277% of open
All analytics / data science
7,705open
All tracked boards · live 10 Nov · n=1,765
PythonAWSSnowflakeSQL

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.com to learn more about us.

As part of H1’s hiring process, all candidates are required to participate in an in-person final interview. Depending on your location, this may require travel.

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.

WHAT YOU'LL DO AT H1

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.

ABOUT YOU

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.

REQUIREMENTS

  • 3–5 years of professional experience in a data analytics or business intelligence role.
  • Expert-level SQL proficiency — complex joins, CTEs, window functions, subqueries, and performance optimization across large datasets.
  • Hands-on Python experience (pandas, NumPy) for data manipulation, automation, validation, and analytical scripting.
  • Proficiency with AWS Athena or comparable cloud data warehouse (Snowflake, BigQuery, Redshift) for querying large-scale datasets.

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
  • 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.

Source · H1First seen 2 Nov1 editsOriginal ↗