Staff Data Analyst
About The Position
At Pearl Health, data is central to improving how providers deliver care—and you’ll be the one turning it into action. As a Staff Data Analyst, you’ll bridge strategy and execution, transforming complex data into insights that shape clinical outcomes and drive our business forward. This is your chance to lead analytical initiatives that directly impact the future of value-based healthcare, while mentoring teammates and influencing how Pearl uses data at scale. Who We Are Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes. Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare. What You'll Do In this role, you’ll own the connection between our data assets and business impact, translating strategic needs into analytical solutions that inform decisions across the organization. You’ll collaborate closely with cross-functional partners while setting the standard for data excellence.
Requirements
- 8+ years of experience delivering analytics across the data pipeline, from modeling to stakeholder engagement.
- Direct experience working with medical claims data or performing any type of medical economics analysis is highly preferred.
- Expert-level SQL and Python skills for data manipulation, analysis, and modeling.
- Proven success turning business needs into end-to-end data solutions, ideally with Snowflake and dbt.
- Strong track record collaborating with non-technical stakeholders, including executives, to communicate insights clearly and persuasively.
- Experience utilizing rigorous statistical methods, including regression modeling and hypothesis testing, to quantify business impact and drive key decisions.
- Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
Nice To Haves
- Familiarity with AWS cloud architectures and modern data stack tools.
- Background working in a fast-paced startup environment.
- Experience designing and maintaining conceptual or functional data marts.
Responsibilities
- Partner with Product, Engineering, Customer Success, and other teams to translate business challenges into actionable analytical solutions.
- Build and maintain data assets, dashboards, and reports that deliver insights and unlock decision-making.
- Collaborate with Data Engineering to design and build data marts and pipelines in Snowflake & dbt that directly serve stakeholder needs.
- Translate complex business challenges into analytical frameworks, leveraging statistical modeling (e.g. regression analysis) to provide actionable recommendations and influence key decisions.
- Manage a prioritized backlog of requests, balancing competing stakeholder needs with business impact.
- Contribute to the company’s analytics strategy and roadmap, identifying opportunities with a 1–2 year horizon.
- Mentor analysts across the team, sharing best practices in analysis, stakeholder engagement, and data storytelling.
- Help establish standards and workflows for data analysis, reporting, and dashboard development.
Benefits
- This role is eligible for a discretionary performance bonus and equity options.
- We offer a competitive benefits package.
- More on our careers page.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
