Health Policy Data Analyst
Vanderbilt University Medical Center • Nashville, TN3d • Hybrid
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Health Policy Data Analyst – Data Management - HYBRID
Vanderbilt University Medical Center•Nashville, TN
•Hybrid
About The Position
The Department of Health Policy at Vanderbilt University Medical Center seeks a Health Policy Data Analyst to support complex quantitative research in health policy, public health, and related disciplines, with occasional faculty guidance. The role uses intermediate-level research skills for data management, quantitative analysis, and report preparation, working across multiple faculty members and projects. The analyst creates analytic datasets from dissimilar data sources and conducts quantitative and written analysis on current policy issues such as health reform, Medicare and Medicaid spending and utilization, health information technology, population health, and health care disparities. Potential projects include analyzing Medicare and Medicaid expenditure trends, evaluating ways to improve the value of care in diverse settings, and comparing clinical outcomes using claims linked with other data. This is a full-time hybrid position with a Monday–Friday schedule during standard daytime business hours. The employee reports to the office at 2525 West End Ave. a couple of times per week. A master’s degree and two years of related experience are required. Salary depends on education and experience. Applicants must include a current resume and cover letter; background screening and education verification are conducted before employment.
Requirements
- Master’s degree and two years of related experience, or equivalent work experience as described in the position summary.
- Strong written and verbal communication skills.
- Strong quantitative, statistical, and data analysis skills.
- Strong analytical and problem-solving skills, including 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.
- Self-starter with good time management, initiative, and a professional work style.
- Submit a current resume and cover letter with the online application to be eligible for consideration.
Nice To Haves
- Degree in economics, statistics, engineering, public policy, or another field with quantitative coursework.
- Expertise with Stata, SAS, or R.
- Experience working with longitudinal administrative healthcare claims data; familiarity with administrative healthcare claims data is requested.
- Experience with T-MSIS analytic files.
- Experience combining dissimilar data to create analytic datasets.
- Knowledge of health policy issues.
Responsibilities
- Clean, validate, and manage large or complex datasets, including administrative healthcare claims, and ensure data quality and accuracy throughout cohort creation and analysis.
- Integrate and cross-validate data from sources with different structures and formats.
- Document data management processes and programming code in detail.
- Protect data integrity and security.
- Perform complex linkages across data sources with different structures.
- Independently identify and resolve data and programming issues.
- Use statistical and data programming skills, including SAS, Stata, or R, to manage and analyze data.
- Conduct, summarize, and interpret complex analyses, including weighted and hierarchical, time-to-event, causal, mediation, and treatment-effects heterogeneity analyses.
- Identify, validate, extract, and format data for statistical analysis according to project-specific parameters.
- Create and modify queries and produce reports.
- Create charts, graphs, and tables to summarize results.
- Apply data modeling expertise and understand relationships between data items.
- Critically evaluate analysis results and troubleshoot discrepancies.
- Participate in the design, coordination, and conduct of research projects using quantitative research methods.
- Prepare materials and draft technical sections of presentations and written documents.
- Prepare effective presentations.
- Foster collaboration among internal and external team members.
Benefits
- The benefits package may include health, disability, retirement, and/or wellness offerings to support well-being and professional growth.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
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