Quantitative Data Specialist at The Ohio… · Columbus…

Summary: The Ohio State University is seeking a Quantitative Data Specialist to join the Ohio Longitudinal Data Archive team. This role involves specialized data management and analytics to support education and workforce research priorities, including data cleaning, visualization, and report production. Responsibilities: - Provides specialized data management and analytics skills to the Ohio Longitudinal Data Archive (OLDA) team at the Center for Human Resource Research (CHRR) and the Ohio Education Research Center (OERC) - Applies knowledge of data to create computer programs for administrative data from government programs - Applies significant judgment in cleaning and documenting data, creating and merging data tables, creating data visualizations, and supporting research activities involving time series and other analyses - Contributes to production of data for use by researchers and government personnel, dashboards for consumption by external and internal users, and reports/analysis for publication by research teams - Works in a highly secure data facility requiring substantial reasoning and accuracy Required Qualifications: - Bachelor's degree in a relevant quantitative field such as Data Analytics or Social Sciences, or the equivalent combination of education and experience is required - Knowledge of data management and data analysis in a research context - Familiarity with data visualization using programs such as R Shiny and Tableau - Experience with SQL is required - Strong problem-solving skills - Ability to communicate complex data analyses visually and/or in written text to a general audience - Excellent verbal and written communication skills - Commitment to data security and data analytic accuracy is essential - Excellent organizational and time management skills - Ability to multi-task Preferred Qualifications: - Relevant data management experience in a social science or policy research context - Additional experience with Stata, R, or Python is strongly preferred Required Skills: Data management, Data analysis, SQL Important Skills: Data visualization, R Shiny, Tableau, Stata, R, Python Nice-to-Have Skills: Multi-tasking, Problem-solving, Communication skills, Organizational skills, Time management