Senior Data Analyst

Job Title: Senior Data Analyst Location: Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce total cost of care. Our model combines technology-enabled MSK providers, proactive care coordination, and decision support services to deliver multidisciplinary, evidence-based care. We founded Icon Health on the belief that patients should be genuinely delighted with their care. Through team-based approaches, shared goals, and patient-centered design, we aim to transform a fragmented healthcare system into one that works better for everyone—especially patients and their clinical teams. We operate with a culture of bold thinking, rapid iteration, and practical execution. We value team members who thrive in vertically integrated environments where ideas move quickly from concept to action, and where no task is too big or too small if it contributes to better outcomes. Who You Are You’re a thoughtful, detail-oriented analyst who gets excited about using data to solve complex problems and tell clear, actionable stories. You bring rigor, structure, and curiosity to every question you tackle. Whether you’re pulling claims data, building dashboards, or modeling performance trends, you’re motivated by clarity, impact, and usefulness. You’re collaborative by nature, and you thrive in cross-functional teams where you can connect the dots between technical systems, clinical operations, and business strategy. You’re also comfortable in ambiguity and proactive in finding solutions when there isn’t a pre-set path. What You’ll Do Collaborate across clinical, product, and operations teams to scope and execute analytics projects, define reporting needs, and translate business questions into data-driven answers. Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify trends, monitor KPIs, and support clinical and operational initiatives. Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within medical claims data that inform hypothesis generation and strategic initiatives. Develop and maintain dashboards, visualizations, and recurring reports to provide transparency into performance and outcomes. Document methodologies, assumptions, and limitations for all analyses to ensure clarity and reproducibility. Contribute to a data culture that prioritizes accuracy, transparency, and business relevance. What You’ll Bring None of these are strict requirements—we’re looking for strong problem-solvers who can learn and grow in the role. 5–7 years of experience in data analysis, healthcare analytics, business intelligence, or a similar role. Experience working with healthcare data (e.g., claims, eligibility, HCCs, risk adjustment). Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is a plus. Experience with data visualization tools (e.g., Looker, Tableau, or similar). Strong Excel/Google Sheets skills for quick-turn modeling and reporting. Comfort working with ambiguity and evolving data sources; ability to validate, reconcile, and QA your own work. Strong communication skills—you can translate complex analysis into clear narratives for non-technical stakeholders. A mindset of ownership, humility, and continuous improvement. What We Offer Impact: Shape how care is measured, improved, and delivered to real patients and providers. Agility: Join a nimble team where your ideas can move quickly from concept to action. Flexibility: Work remotely from anywhere in the United States. Compensation: Competitive salary commensurate with experience. Benefits: Full medical/dental/vision, PTO, and employee‑funded 401(k). Icon Health is proud to be an Equal Opportunity Employer. We are committed to building a diverse and inclusive team. We welcome candidates from diverse backgrounds; however, this position requires U.S. work authorization and we are not able to provide visa sponsorship at this time. #J-18808-Ljbffr