The Brody School of Medicine’s Department of Academic Affairs is seeking to hire a Data Analyst to join their team to provide focused support in areas of data collection, analysis, interpretation of data, and presentation of reports for the medical education program, guides the improvement of educational and operational business processes, and engages in the development of the medical education data warehouse.
Requirements
- Proficient with data extraction, data cleaning, data transformation, and creating reports to present insights.
- Experience with statistical software (e.g., R, SPSS, Python), data visualization tools like Power BI, and querying databases using SQL.
Responsibilities
- Extracts data from multiple systems and prepares data sets for statistical analysis and predictive analytics.
- Identifies and investigates significant differences or anomalies in data.
- Uses appropriate quantitative and qualitative analysis to analyze survey data.
- Conducts longitudinal analysis and works collaboratively with faculty, staff, and students in research studies of medical education and/or related topics.
- Supports development and administration of surveys and other data collection instruments.
- Collects, analyzes, interprets, and summarizes data in preparation for the generation of statistical and analytical reports using data visualization tools
- Develops methodology to facilitate and automate the distribution of reports.
Other
- Master’s degree in education, statistics, mathematics, computer science, data science, or related field; or bachelor’s degree in statistics, mathematics, computer science, data science, or related field, and minimum 2 years of related experience.
- Strong interpersonal skills and the ability to build relationships with various groups.
- Previous experience as a Data Analyst or similar position, preferred in higher education or related field.
- Responds to ad hoc requests for medical student data, assessments, evaluations, academic progression, and related data.
- Assists with the development of educational data warehouse and the creation of databases to collect and manage educational, student, and operational data.
