Principal Data Analyst

Join Tendo, a healthcare technology company, as a Principal Data Analyst. In this role, you will lead the analysis of hospital quality performance and national rankings, apply your expertise in quality measure methodology, and design dashboards and benchmarking tools. You will also present findings to customer leadership, mentor analysts, and partner with Data Scientists and Process Improvement Consultants. Benefits include equity grants, health insurance, flexible PTO, and a wellness stipend.

- Lead analysis of hospital quality performance and national rankings, applying expertise in quality measure methodology and risk adjustment. - Design dashboards and benchmarking tools, set standards for methodological rigor and validation across the team. - Serve as a senior analytic voice in pre-sales, sales, and ongoing customer engagements, presenting findings directly to customer leadership.

- Master’s degree in Public Health, Epidemiology, Statistics, or a related quantitative field - Bachelor’s degree in Computer Science, Engineering, Statistics, or Health Sciences - Equivalent work experience with a portfolio of relevant analytic projects - 7+ years of experience in healthcare data analytics, with a focus on hospital quality measurement, clinical outcomes, or performance improvement - Experience working with Medicare claims (MedPAR, Standard Analytic Files) and CMS public reporting data (e.g., Care Compare, Provider Data Catalog) - Experience presenting findings and recommendations to senior leadership or customer executives - 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) - Demonstrated experience leading analytic projects end to end, from scoping through delivery - Expertise in business intelligence and data visualization tools, with the ability to set dashboard and reporting standards - Experience mentoring analysts and reviewing their work for quality and accuracy - Ability to translate ambiguous business and customer questions into clear analytic plans - Ability to communicate complex findings clearly to executive and non-technical audiences - Advanced SQL and proficiency in Python or R for data analysis - Strong command of statistical methods, benchmarking, and performance measurement - 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 - Familiarity with Jupyter Notebook and collaborative analytics workflows - Experience with cloud data platforms (AWS, GCP, or Azure) - Tableau/Google Data Studio/Plotly/Dash - Experience with Smartsheet or similar project management tools - Advanced proficiency in Excel/Google Sheets and PowerPoint/Google Slides - Pycharm, VSCode, Sublime Text, Atom, etc - AWS/GCP/Azure, etc