Staff Data Analyst at Pearl Health

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Staff Data Analyst at Pearl Health. Remote Location: Boston, New York City, or Remote. The Opportunity. 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.. 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.. What You’ll Bring. We’re looking for someone who combines deep technical expertise with the ability to translate data into business value. The right person will thrive in an environment where data is both a craft and a strategic lever.. Must-haves:. 8+ years of experience delivering analytics across the data pipeline, from modeling to stakeholder engagement.. 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:. Direct experience in healthcare, insurance, or other data-rich, regulated industries.. 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.. This role might not be for you if:. You prefer a highly structured, top-down corporate environment.. You’d rather work on individual analyses than partner closely with stakeholders across the business.. You are looking for a role focused solely on data engineering or data science, rather than stakeholder-facing analytics.. You’re uncomfortable managing ambiguity and shifting priorities in a growing company.. Our Values. 🤝 Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions.. 🗣️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate, from building products to fostering relationships, and is crucial to our ability to communicate openly and gain trust.. ❤️ Serious Impact, Big Heart: We go above and beyond with our efforts to empower proactive, patient-centered care — and we celebrate every step forward. Humor and positivity fuel our creativity, strengthen relationships, and remind us to acknowledge the journey as much as the destination.. We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination.. What We Offer. The expected offer for this role includes the following components:. Base Salary Range: $160,000 - $200,000. Additional Compensation: This role is eligible for a discretionary performance bonus and equity options.. Benefits: We offer a competitive benefits package. You can learn more on our . benefits page. .. Final compensation for this role will be determined by a variety of factors, including a candidate's relevant skills, experience, labor market conditions, and location.. Agency Submissions. We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.. The Interview Process. While steps may vary by role, you can typically expect:. Recruiter Screen: An intro call to discuss your background and motivations.. Technical Exercise: A take-home or live assessment meant to evaluate relevant technical skills.. Hiring Manager Interview: A deeper-dive conversation with your potential manager.. Panel Interview: A round of meetings with teammates and cross-functional partners.. Case Assignment/Presentation: A practical exercise inviting you to solve a real-world problem or relevant challenge.. Executive Interview: Final conversation(s) with 1-2 of our leaders.