Health Policy Data Analyst – Data Management - HYBRID
Quick Summary
This position requires master’s degree and two years of related experience. A degree in economics, statistics, engineering, public policy,
The ideal candidate will work well with multiple faculty members and projects simultaneously, be self-directed, think critically about complex data, proactively identify and resolve problems, and complete assignments in a timely manner. Familiarity with administrative healthcare claims data is requested, experience with T-MSIS analytic files in particular is desired.
In addition to creating analytic datasets from dissimilar data sources, the responsibilities of this position will include quantitative and written data analysis on issues of current policy interest, including health reform, Medicare/Medicaid spending and utilization patterns, health information technology, population health, and health care disparities. Examples of projects may include:
• Analyzing trends in health care expenditures for Medicare and Medicaid beneficiaries
• Evaluating options for improving the value of care delivered to patients in diverse settings
• Comparing patient clinical outcomes using healthcare claims linked with other data sources.
This position requires a Master's degree, or equivalent work experience.
You will enjoy a hybrid work schedule Monday-Friday, standard daytime business hours. You will need to report to our office at 2525 West End Ave. a couple of times a week.
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The Department of Health Policy at Vanderbilt University Medical Center is a large and welcoming group of health policy faculty and staff who have broad experiences and backgrounds and conducting world-class health services research. The Department's collective goal is to inform health policy solutions and positively impact numerous areas of public health. The Department builds on a history of strong collaborative relationships with the Tennessee Department of Health, Tenncare, the Centers for Disease Control and Prevention, and other local, state, national and global policy makers. For more information, please visit https://www.vumc.org/health-policy/welcome-health-policy.
Key Responsibilities:
1. Data Management
a. Responsible for cleaning, validating, and managing large and/or complex datasets, including administrative healthcare claims, and ensuring data quality and accuracy throughout cohort creation and analysis
b. Integrates and cross-validates data from different sources with differing structures and formats
c. Maintains detailed documentation of data management and programming codes
d. Ensures the integrity and security of data
e. Performs complex data linkages across data sources with different structures
f. Independently identifies and resolves data and programming issues
2. Health Policy Data Analysis
a. Uses advanced statistical and data programming skills to manage and analyze data (e.g., SAS, Stata, R)
b. Conducts, summarizes, and interprets complex analyses, including weighted and hierarchical analyses, time-to-event analyses, causal analyses, mediation analyses, and analyses of treatment-effects heterogeneity
c. Identifies, validates, extracts, and formats data for statistical analysis following project-specific parameters
d. Able to create, modify, and run queries and produce reports
e. Creates complex charts, graphs, and tables to summarize analysis results
f. Expertise in data modeling and understands relationships between data items
g. Critically evaluates and understands results and troubleshoots discrepancies
3. Project Management and Presentation
a. Uses intermediate quantitative research methods skills to participate in the design, coordination and conduct of research projects
b. Prepares materials and drafts technical sections of presentations and written documents
c. Able to prepare effective presentations in content and function
d. Fosters collaboration between team members, both internal and external to the department
Minimum Qualifications:
This position requires master’s degree and two years of related experience. A degree in economics, statistics, engineering, public policy, or another field with quantitative coursework is strongly preferred.
Preferred qualities and skills:
• Expertise with Stata, SAS, or R
• Strong written and verbal communication skills
• Strong quantitative, statistical and data analysis skills
• Strong analytic and problem-solving skills, with the ability to independently identify and resolve programming issues
• Ability to critically evaluate data structures, analyses, and results without relying solely on automated programming tools
• Experience working with longitudinal administrative healthcare claims data
• Experience combining dissimilar data to create analytic datasets
• Knowledge of health policy issues
• Self-starter with good time management, initiative, and professional work style
A current resume and cover letter must be included/uploaded in your online application to be eligible for consideration.
Additional Information:
This is a full-time position.
Salary is dependent upon education and experience.
Background screens will be performed, and education will be verified prior to employment. Please be prepared to provide required information and/or documentation.
Job Research
Primary Location TN-Nashville-2525
Responsibilities
~2 min readRequirements
~1 min readResponsibilities:
Certifications :
Work Experience :
Relevant Work ExperienceExperience Level :
Less than 1 yearEducation :
Master'sThis role offers the opportunity to make a meaningful impact within Vanderbilt Health, supported by a comprehensive benefits package which may include health, disability, retirement and/or wellness offerings to enhance your well-being and professional growth.
Vanderbilt Health is committed to fostering an environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.
Location & Eligibility
About this job
- Who can apply
- United States
- Posted
- Today
Listing Details
- First seen
- October 29, 2026
- Last seen
- October 29, 2026
Posting Health
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- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- October 29, 2026
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