Principal Data Analyst

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Oversee the evaluation of hospital quality performance along with national rankings and ratings programs for both existing and potential health system clients.

• Utilize quality measure methodologies, risk adjustment, and Medicare claims knowledge to replicate program methodologies effectively.

• Clarify the factors influencing customer outcomes and pinpoint significant opportunities for improvement.

• Take charge of the design of dashboards and benchmarking tools.

• Establish guidelines for methodological rigor, validation, visualization, and reporting.

• Present insights and recommendations to both customers and internal leadership during pre-sales, sales, renewals, and ongoing engagements.

• Collaborate with Data Scientists and Process Improvement Consultants on methodology, project scoping, and execution.

• Guide analysts by reviewing their work and developing repeatable analytic processes.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Statistics, or Health Sciences; or a Master’s degree in Public Health, Epidemiology, Statistics, or a related quantitative discipline; or equivalent work experience with a portfolio showcasing relevant analytic projects.

• Over 7 years of experience in healthcare data analytics, with a focus on hospital quality measurement, clinical outcomes, or performance enhancement.

• Hands-on experience with national quality rankings or ratings programs, such as CMS Star Ratings, USNWR Best Hospitals, Leapfrog, Vizient Quality & Accountability, or CMS value-based programs (HRRP, HAC, VBP).

• Familiarity with Medicare claims (MedPAR, Standard Analytic Files) and CMS public reporting data (Care Compare, Provider Data Catalog).

• Proven experience in leading analytic projects from initiation to completion.

• Experience in presenting findings and recommendations to senior leadership or executive clients.

• Advanced proficiency in SQL and working knowledge of Python or R for data analysis.

• Expertise in business intelligence and data visualization tools, with the ability to establish standards for dashboards and reporting.

• Strong understanding of statistical methods, benchmarking, and performance measurement.

• Capability to convert ambiguous business and customer inquiries into clear analytic strategies.

• Proficient in conveying complex findings to both executive and non-technical audiences.

• Experience in mentoring analysts and evaluating their work for quality and accuracy.

🏝️ Benefits

• Equity package/company equity.

• Annual bonuses.

• Comprehensive health benefits: medical, dental, and vision.

• Flexible spending and health savings accounts.

• Company-funded life insurance.

• Company-funded short-term and long-term disability.

• Optional benefits.

• 401(k) plan.

• Company-paid holidays.

• Flexible time off policies.

• Employee wellness program (“Breathe”).