Remote Senior Healthcare Analytics Lead — Quality & Dashboards

OpenKrill

United States

Remote

USD 111,000 - 150,000

Full time

9 days ago

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Benefits offered by this job

Equity package
Annual bonuses
Health benefits

Job summary

Tendo is seeking a Principal Data Analyst to lead hospital quality performance analyses and national rankings programs for health system customers. You will apply expertise in quality measures, risk adjustment, and Medicare data to replicate methodologies and identify high-impact improvements.

You will own dashboards, benchmarking tools, and set standards for rigor and validation while mentoring analysts and collaborating with data scientists.

Qualifications

  • 7+ years of experience in healthcare data analytics.
  • Hands-on experience with national quality rankings or ratings programs.
  • Experience with Medicare claims (MedPAR, SMF) and CMS data.
  • Led analytic projects end to end and presented to senior leadership.

Responsibilities

  • Own data sourcing, cleaning, and QA; set validation standards.
  • Design, build, and maintain dashboards and benchmarking tools.
  • Present findings to customer and internal leadership; support pre-sales.
  • Partner with Data Scientists on methodology and scoping.
  • Mentor analysts and develop repeatable analytic processes.

Skills

SQL
Python or R
BI & Visualization
Statistical methods
Executive communication

Education

Bachelor's degree in CS/Engineering/Statistics/Health Sciences
Master's in Public Health/Epidemiology/Statistics/quantitative field
Equivalent work experience with portfolio

Tools

Tableau
Looker Studio
Plotly/Dash
Plotly/Dash
Jupyter Notebook

Job description

Tendo is seeking a Principal Data Analyst to lead hospital quality performance analyses and national rankings programs for health system customers. You will apply expertise in quality measures, risk adjustment, and Medicare data to replicate methodologies and identify high-impact improvements.

You will own dashboards, benchmarking tools, and set standards for rigor and validation while mentoring analysts and collaborating with data scientists.

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