Senior Data Analyst, Healthcare Analytics & Platforms

Joint Commission International; Northern (KY); Hybrid; USD 96,000 - 120,000; Full time

Job summary

The Joint Commission is seeking a Senior Data Analyst to support a next-generation, data-driven certification model using healthcare data, analytics and evidence-based insights to improve quality, safety and outcomes across the continuum of care.

You will analyze claims, administrative and clinical data, develop quality measures and performance indicators, design scalable data pipelines in Databricks, and translate findings into executive-ready recommendations for product, clinical and

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Health Informatics, Epidemiology, Public Health, Mathematics, Healthcare Analytics, Economics or a related field.
• 3–7+ years of experience in healthcare analytics, healthcare data management, healthcare data science, or a related analytical role.
• Experience working with healthcare claims data, including Medicare, Medicaid, commercial, administrative, or value-based care datasets.
• Strong SQL skills and experience optimizing queries for large datasets.
• Experience in performing analytics in a cloud-based computing environment, such as Databricks.
• Proficiency in R (preferred) or Python for data management, analysis, and reproducible workflows.
• Experience building analytical datasets, performing data quality validation, and documenting assumptions and limitations.
• Strong analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to communicate complex findings effectively to diverse audiences.
• Experience working collaboratively within cross-functional teams.

Responsibilities

• Analyze large healthcare datasets, including claims, administrative, clinical, and other real-world data sources.
• Support development, testing, validation, and implementation of quality measures, certification criteria, and performance indicators.
• Evaluate measure reliability, validity, risk adjustment approaches, benchmarking methods, and performance variation.
• Conduct exploratory analyses to identify opportunities for new healthcare quality, safety, and certification products.
• Support environmental scans and market assessments of healthcare measures, datasets, and benchmarking programs.
• Translate complex analytical findings into clear business and product recommendations.
• Develop executive-ready presentations, dashboards, visualizations, and written summaries.
• Partner with product, clinical, business, and technology teams to define analytical requirements and support strategic decision-making.
• Communicate statistical and technical concepts to both technical and non-technical audiences.
• Support advisory councils, leadership discussions, and product development initiatives with data-driven insights.
• Evaluate new healthcare datasets, vendors, and data acquisition opportunities.
• Support predictive analytics, risk stratification, advanced modeling, and signal detection initiatives.
• Contribute to Cert 3.0 evolution through continuous learning and experimentation with emerging analytical methods and technologies.
• Stay informed about healthcare quality measurement, interoperability standards, AI applications, and industry best practices.

Skills

SQL

Python

R

Data Visualization

Analytical thinking

Communication

Education

Bachelor’s degree in Data Science or related field

Tools

Databricks

Power BI

Tableau

Git

CI/CD

Job description

The Joint Commission is seeking a Senior Data Analyst to support a next-generation, data-driven certification model using healthcare data, analytics and evidence-based insights to improve quality, safety and outcomes across the continuum of care.

You will analyze claims, administrative and clinical data, develop quality measures and performance indicators, design scalable data pipelines in Databricks, and translate findings into executive-ready recommendations for product, clinical and