Job Description
As a Principal Data Analyst, you will lead analysis of hospital quality performance and national rankings and ratings programs for current and prospective health system customers, including CMS Star Ratings, U.S. News & World Report Best Hospitals, Leapfrog, and CMS pay-for-performance programs (HRRP, HAC, VBP). You will apply deep expertise in quality measure methodology, risk adjustment, and Medicare claims data to replicate program methodologies, explain what is driving a customer’s results, and identify the improvement opportunities with the greatest impact on their scores and rankings. You will own the design of dashboards and benchmarking tools, and set standards for methodological rigor and validation across the team. You will serve as a senior analytic voice in pre-sales, sales, and ongoing customer engagements, presenting findings directly to customer quality and executive leadership. You will also mentor analysts and partner with Data Scientists and Process Improvement Consultants to shape how Tendo delivers analytic value.
About Tendo Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location RemoteTendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.
Responsibilities
Own data sourcing, cleaning, and quality assurance, and set the validation standards the team uses for all 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.
Requirements
Education (one of the following):
Bachelor’s degree in Computer Science, Engineering, Statistics, or Health Sciences
Master’s degree in Public Health, Epidemiology, Statistics, or a related quantitative field
Equivalent work experience with a portfolio of relevant analytic projects
Experience:
7+ years of experience in healthcare data analytics, with a focus on hospital quality measurement, clinical outcomes, or performance improvement
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)
Experience working with Medicare claims (MedPAR, Standard Analytic Files) and CMS public reporting data (e.g., Care Compare, Provider Data Catalog)
Demonstrated experience leading analytic projects end to end, from scoping through delivery
Experience presenting findings and recommendations to senior leadership or customer executives
Core Competencies:
Advanced SQL and proficiency in Python or R for data analysis
Expertise in business intelligence and data visualization tools, with the ability to set dashboard and reporting standards
Strong command of statistical methods, benchmarking, and performance measurement
Ability to translate ambiguous business and customer questions into clear analytic plans
Ability to communicate complex findings clearly to executive and non-technical audiences
Experience mentoring analysts and reviewing their work for quality and accuracy
Nice to Have
Experience in a customer-facing, consulting, or pre-sales analytics role
Six Sigma or Lean certification
Experience with Tableau, Looker Studio, Plotly/Dash, or similar visualization platforms
Experience with cloud data platforms (AWS, GCP, or Azure)
Familiarity with Jupyter Notebook and collaborative analytics workflows
Advanced proficiency in Excel/Google Sheets and PowerPoint/Google Slides
Experience with Smartsheet or similar project management tools
Tableau/Google Data Studio/Plotly/Dash.
Pycharm, VSCode, Sublime Text, Atom, etc.
AWS/GCP/Azure, etc.
Base Salary Range $110,500 - $149,500
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
