Sr. Data Analyst

h1; Northern, New York (KY, NY); Hybrid; USD 60,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Wellness holidays

Retirement options

Work from anywhere

Flexible hours

Job summary

H1 invites a Senior Data Analyst to join our Client Delivery team, focused on delivering high-quality data insights that power Commercial and Sales decisions. The role centers on extracting, transforming, and presenting data to drive fast, accurate actions across healthcare datasets.

You will partner with stakeholders, write SQL, use Python, and operate in cloud environments like AWS Athena, contributing to QA, self-service reporting, and cross-functional analytics initiatives.

Qualifications

• 3–5 years in data analytics or BI.
• Expert-level SQL with complex joins, CTEs, window functions.
• Hands-on Python for data manipulation and automation.
• Experience with cloud data warehouses (Athena/Snowflake/BigQuery/Redshift).
• Translate ambiguous requirements into technical data specs.
• Strong data quality and QA processes.
• Excellent communication for non-technical stakeholders.
• Experience managing multiple concurrent requests.
• Nice to have: BI tools (Power BI/Tableau/Looker).
• Nice to have: healthcare data familiarity.
• Nice to have: pre-sales or RFP support experience.

Responsibilities

• Partner with Commercial, Sales, and Business stakeholders to gather and translate requirements into data specs.
• Write and optimize SQL queries to extract and transform large datasets from AWS Athena.
• Use Python (pandas, NumPy) to automate data workflows and validate outputs.
• Perform rigorous QA and validation on data deliverables.
• Translate findings into clear insights for technical and non-technical audiences.
• Manage multiple concurrent data requests in a fast-paced environment.
• Support pre-sales/RFP activities with accurate data outputs.
• Collaborate with Operations, Strategy, and Data Engineering on data availability and methodology.
• Owning deliverables and resolving data gaps with minimal supervision.
• Contribute to analytics best practices and self-service reporting.

Skills

SQL

Python

AWS Athena

Data QA

Data transformation

Snowflake/BigQuery/Redshift

Communication

BI dashboards

Healthcare data familiarity

Tools

AWS Athena

Snowflake

BigQuery

Redshift

Job description

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 to learn more about us.

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.
• Demonstrated ability to translate ambiguous business requirements into clear, executable technical data specifications.
• Strong data quality instincts — experience performing end-to-end QA and validation on high-stakes analytical deliverables.
• Excellent communication skills — proven ability to explain complex data findings clearly to non-technical stakeholders.
• Experience managing multiple concurrent requests and prioritizing across competing business needs.
• Good to have: experience with a BI tool (Power BI, Tableau, or Looker) for dashboard and report development.
• Good to have: familiarity with healthcare data (medical claims, Clinical Trials, healthcare providers and organizations) or health insurance terminology.
• Good to have: experience supporting pre-sales, RFP responses, or client-facing data deliverables.

COMPENSATION

This rolepays $60,000 to $75,000 per year, based on experience, in addition to equity in the form of Restricted Stock Units.

Anticipated role close date: 11/15/2026

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.