Institutional Research Analyst
About This Role
We are seeking a highly skilled and detail-oriented Institutional Research Analyst to join our team focused on student data analysis in areas of enrollment management and student success. The Institutional Research Analyst reports to the Director of BI and Analytics in the Office of Data, Assessment, and Institutional Research (DAIR) and will provided focused support to the Divisions of Enrollment Management (VPEM) of Academic Success and Student Affairs (VP-DASSA) in areas of data collection, analysis, and interpretation of data related to student recruitment, progress, outcomes, and engagement to inform strategies aimed at improving student recruitment and retention, graduation rates, and overall academic success.
About Us
We are dedicated to driving institutional excellence through the power of data. Our mission is to understand how students learn, gauge their progress through rigorous learning assessment practices, and utilize institutional research to make data actionable for informed decision-making. Through our Enterprise Data Warehouse, we unify data from varied sources to extract valuable insights, ensuring data integrity and quality through our Data Governance initiatives. Together, we strive to enhance the educational experience and achieve strategic goals.
Worksite Description
This position is On-site. All employees must reside in the United States when they begin working to comply with state law. K-State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho.
What You'll Need to Succeed
- Minimum Qualifications: Requires a bachelor's degree and three years of relevant experience.
- Preferred Qualifications: Education beyond the minimum degree requirement may count toward required experience if deemed relevant by the hiring manager. Education in Data Science, Analytics, Management Information Systems, or related fields. Master's degree. Experience as a Data Analyst, preferably in higher education or a related field with a focus on student data analysis, such as admission, student success, retention, or institutional research. Strong experience with data visualization tools (e.g. Power BI, Tableau) and statistical software (e.g., R, SAS, SPSS, Python). Experience querying databases and creating data models. Familiarity with student information systems (SIS) and CRM, and Learning Management Systems (LMS) such as Banner, PeopleSoft, Slate, or Canvas is preferred.
- Skills: Proficient in data cleaning, data transformation, and creating dashboards/reports to present insights. Strong analytical, problem-solving, and critical thinking skills. Experience with predictive analytics and statistical modeling. Ability to communicate complex data insights to non-technical stakeholders. Attention to detail and commitment to data quality and integrity. Excellent organizational skills and the ability to handle multiple projects simultaneously. Ability to work independently and collaboratively in a cross-functional team. Strong interpersonal skills and the ability to build relationships with diverse groups.
How to Apply
- Please Submit The Following Documents: Cover Letter, Resume, List of 3 or more professional references