Senior Healthcare Data Analyst

Joint Commission•Oakbrook Terrace, IL

38d•$96,000 - $120,000

About The Position

Joint Commission seeks a highly skilled and motivated Senior 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. The analyst works directly with the Vice President and Chief Research Officer and Research Scientists to prepare and analyze complex healthcare datasets and contribute to manuscripts for peer-reviewed journals, technical memos, and materials for internal and external stakeholders. This is a hands-on role requiring technical rigor, independent execution, and a strong sense of mission. The position includes preparing and analyzing healthcare data, developing reproducible analytic workflows, contributing to research publications and presentations, and communicating findings to technical and non-technical audiences. The analyst leads defined analytic tasks within research projects, coordinating with research scientists and other stakeholders to align deliverables with study objectives and timelines.

Requirements

Bachelor's degree in a quantitative field or related discipline and at least 5 years of relevant healthcare research experience, or a master's degree in a quantitative field or related discipline and at least 2 years of relevant healthcare research experience.
Advanced proficiency in statistical programming languages such as R, Stata, or Python, including experience with modern analytics environments such as RStudio and Visual Studio Code.
Advanced database management skills, including extracting and managing structured data using SQL via SQL Server Management Studio.
Experience building, maintaining, or validating analytical data pipelines and large-scale healthcare datasets.
Experience using version control systems such as Git/GitHub and applying reproducible research practices.
Ability to learn, adapt to, and apply new programming, analytics, and database management tools.
Experience working with real-world healthcare data, such as health outcomes, claims, or quality reporting metrics.
Knowledge of healthcare outcomes research principles and study design.
Meticulous attention to detail and commitment to reproducible, well-documented analytics.
Experience supporting research using causal inference methods, such as difference-in-differences or instrumental variables.
Experience contributing to or co-authoring peer-reviewed journal publications.
Experience mentoring junior data analysts.
Experience translating complex analytic findings for technical and non-technical stakeholders.
Strong organizational and communication skills, ability to collaborate across projects, and adaptability to changing priorities.
Ability to take initiative, independently advance analytical work, and prioritize competing projects, tasks, and deadlines in a collaborative research environment.
Commitment to Joint Commission’s mission to improve health care quality and safety.

Nice To Haves

Advanced proficiency in R, including building reproducible analytical workflows, managing large healthcare datasets, and producing publication-quality statistical analyses and visualizations.
Experience developing and maintaining analytical workflows across multiple programming languages, such as R, Python, Stata, and SQL, including translating methods and validating results between platforms.
Experience using cloud-based data engineering and analytics platforms, such as Microsoft Fabric, for large-scale healthcare data management, workflow automation, and research analytics.
Experience using AI-assisted development tools, such as Microsoft Copilot, GitHub Copilot, or large language models, to improve analytic productivity, documentation, quality assurance, and workflow development.
Experience using and critically evaluating generative AI tools and validating analytical outputs, code, and research materials for accuracy, completeness, and methodological soundness.
Prior work in a mission-driven organization or collaborative research environment.
Experience applying machine learning techniques or AI tools to research questions.

Responsibilities

Independently prepare, clean, merge, and manage healthcare datasets from sources such as patient-level data, healthcare organization-level data, accreditation and certification records, and administrative claims.
Conduct complex statistical analyses using established and novel methods under the direction of research leadership, and contribute to reproducible, well-documented analytic workflows.
Take ownership of analytical deliverables for specific research objectives within larger studies.
Use statistical programming languages such as R, Stata, or Python to create summary statistics, visualizations, analysis files, and analytic tables for strategy documents, policy briefs, and peer-reviewed publications.
Extract and manipulate data from relational databases using SQL or other tools as required.
Develop, maintain, and document GitHub-based analytical workflows, including version-controlled code, quality assurance processes, and technical documentation.
Document data sources, definitions, programming steps, and quality checks to support transparency and reproducibility.
Coordinate with research scientists and stakeholders to align analytical deliverables with study objectives and timelines.
Lead analysis of defined analytic tasks within research projects, with guidance from research scientists.
Contribute to manuscripts for peer-reviewed journals, technical memos, data briefs, and presentation materials for internal decision-making and external dissemination.
Develop and deliver presentations on data acquisition, data quality, analytical progress, project milestones, and study findings, translating complex information into actionable recommendations.