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This position serves as a member of the data science group in DAIR that provides in-depth data analysis, modeling, interpretation, and communication for projects related to Kansas State University's major initiatives.
Job Responsibility:
Lead reporting and analysis projects to support University decision-making processes
Provide in-depth data analysis, modeling, interpretation, and communication for projects related to the university's major initiatives
Address areas such as academic affairs, student recruitment and success
Understand the complexity of data structures and commonly used methodologies in statistical analysis and reporting
Make independent decisions on using sound approaches and interpret findings to different stakeholders
Strengthen the user service capacity for data requests, analysis, automation, and reporting
Requirements:
Requires a bachelors degree and five years of relevant experience
Master’s degree (preferred)
Two or more years of Institutional Research or directly related experience (preferred)
Previous work experience in a higher education environment (preferred)
Experience developing data visualizations and reports using business intelligence and analytic platforms: Power BI, Tableau, etc. (preferred)
Experience with statistical analysis (preferred)
Analytical software and programming experience in tools such as R, SAS, or Python (preferred)
Data retrieval and transformation skills: SQL, Power Query, Excel, etc. (preferred)
Data automation experience: Power Automate, Snowflake, etc. (preferred)
Data and analysis presentation skills (preferred)
Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship
Nice to have:
Master’s degree
Two or more years of Institutional Research or directly related experience
Previous work experience in a higher education environment
Experience developing data visualizations and reports using business intelligence and analytic platforms: Power BI, Tableau, etc.
Experience with statistical analysis
Analytical software and programming experience in tools such as R, SAS, or Python
Data retrieval and transformation skills: SQL, Power Query, Excel, etc.
Data automation experience: Power Automate, Snowflake, etc.