Principal Data Analyst
New
T
TendoHealthcare analytics
Remote, United StatesFull-TimePrincipal
SalaryBase Salary Range $110,500 - $149,500
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Job Details
- Experience
- 7+ years of experience in healthcare data analytics
- Required Skills
- PythonSQLData visualizationR
Requirements
- Have 7+ years of experience in healthcare data analytics, focused on hospital quality measurement, clinical outcomes, or performance improvement.
- Have hands-on experience with one or more 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).
- Have experience working with Medicare claims (MedPAR, Standard Analytic Files) and CMS public reporting data, such as Care Compare or Provider Data Catalog.
- Have demonstrated experience leading analytic projects end to end, from scoping through delivery.
- Have experience presenting findings and recommendations to senior leadership or customer executives.
- Have advanced SQL skills and proficiency in Python or R for data analysis.
- Have expertise in business intelligence and data visualization tools, and the ability to set dashboard and reporting standards.
- Have a strong command of statistical methods, benchmarking, and performance measurement.
- Be able to translate ambiguous business and customer questions into clear analytic plans and explain complex findings to executive and non-technical audiences.
- Have experience mentoring analysts and reviewing their work for quality and accuracy.
- Have a bachelor’s degree in Computer Science, Engineering, Statistics, or Health Sciences; a master’s degree in Public Health, Epidemiology, Statistics, or a related quantitative field; or equivalent work experience with a portfolio of relevant analytic projects.
Responsibilities
- Own data sourcing, cleaning, and quality assurance, and set validation standards for analytic outputs.
- Design, build, and maintain reporting, dashboard, and benchmarking tools, and set visualization standards for customer-facing work.
- Present findings and recommendations to customer and internal leadership, supporting pre-sales, sales, renewals, and ongoing customer engagement.
- Partner with Data Scientists and Process Improvement Consultants on methodology, project scoping, and delivery.
- Mentor analysts, review their work for accuracy and quality, and help build repeatable analytic processes for the team.
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