Healthcare Data Analyst

@ Joint Commission

Overview

Joint Commission seeks a highly skilled and motivated Healthcare Data Analyst to support a growing portfolio of research and analytics initiatives that inform quality improvement, accreditation strategy, certification programs, and system-level learning. You will work directly with senior leadership and research scientists to prepare and analyze complex healthcare datasets, contributing to manuscripts, technical memos, and various internal and external materials. This is a hands-on role requiring technical rigor, independent execution, and a strong sense of mission.

Responsibilities

• Prepare, clean, merge, and manage healthcare datasets from diverse sources.
• Extract and manipulate data using SQL and other tools.
• Conduct statistical analyses with established and novel methods.
• Utilize R, Stata, or Python for summary statistics and visualizations.
• Maintain detailed documentation of data sources, definitions, and processes.
• Coordinate with stakeholders to align analytic deliverables with study objectives.
• Contribute to manuscript preparation and technical communications.
• Learn and apply new statistical and database extraction tools as needed.

Qualifications

Required Qualifications: Bachelor’s degree or equivalent in quantitative field; minimum 2 years experience with healthcare data; fluency in statistical programming (R, Stata, Python); strong SQL skills; experience with real-world healthcare data; attention to detail; excellent organizational and communication skills; commitment to improving healthcare quality and safety.

Preferred Qualifications: Experience with causal inference methods; publication experience; ability to translate complex analytics for non-technical audiences; prior experience in a mission-driven research environment.

Benefits

We offer a comprehensive benefit package. For a complete overview, please visit our Joint Commission Career Page.

Key skills/competency

• Healthcare Analytics
• Data Management
• SQL
• R
• Stata
• Python
• Statistical Analysis
• Data Visualization
• Research Methods
• Reproducibility