Data Analyst

4 weeks ago


College Park, Maryland, United States University of Maryland Full time
Job Title: Data Analyst

We are seeking a highly skilled Data Analyst to join our team at the University of Maryland. As a Data Analyst, you will be responsible for managing and analyzing large datasets, including CMS claims data and Census, to support research projects in the Department of Health Policy & Management at the School of Public Health.

The ideal candidate will have a Master's degree in biostatistics, public health, health services research, economics, epidemiology, or a related field, and experience working with diverse data sets. Strong quantitative skills in data management and statistical analysis using software like SAS, Stata, Python, or R are required.

The successful candidate will be able to demonstrate advanced knowledge and application of research methodologies using statistical and research-related software, and effectively interpret and present data findings to non-technical audiences. If you are a detail-oriented and organized individual with excellent problem-solving skills, we encourage you to apply for this exciting opportunity.

Responsibilities:

  • Data management and cleaning of large datasets
  • Conducting exploratory analysis and visualization
  • Developing and applying statistical or econometric models for health policy analysis
  • Assisting with writing manuscripts, grant proposals, and other reports
  • Assisting with data applications

Requirements:

  • Master's degree in biostatistics, public health, health services research, economics, epidemiology, or a related field
  • Experience working with CMS claims data and diverse data sets
  • Strong quantitative skills in data management and statistical analysis using software like SAS, Stata, Python, or R

Preferred Qualifications:

  • Advanced knowledge and application of research methodologies using statistical and research-related software
  • Ability to effectively interpret and present data findings to non-technical audiences


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