Sponsorship eligibility:

Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship

How to Apply

Please submit the following documents:

• Cover Letter
• Resume
• List of 3 or more Professional References

To apply, please visit: https://careers.k-state.edu/jobs/data-analyst-manhattan-kansas-united-states-84260570-8332-4405-a60b-94ef f3ed0e63

We are seeking a highly skilled and detail-oriented Data Analyst to join our team focused on student data analysis in areas of enrollment management and student success. The Data 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. The ideal candidate will have strong analytical skills, experience working with large data sets, and a passion for using data to drive meaningful changes in higher education.

Minimum Qualifications:

• Bachelor’s degree
• Three years of relevant experience.

Preferred Qualifications:

   Education

• Bachelor’s degree in Data Science, Statistics, Mathematics, Education, Social Sciences, or related field.
• Master’s degree

   Experience

• Experience (2-3 years) 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.

   Preferred Qualifications

• Power BI Experience
• Snowflake Experience
• Knowledge of best practices in enrollment management, student retention, academic advising, and student success initiatives.
• Experience with machine learning techniques or advanced predictive analytics.
• Familiarity with data privacy and ethical considerations in handling student data.

Kansas State University was founded in 1858 as Bluemont Central College with 53 enrolled students. Five years later, the name changed to Kansas State Agricultural College and attained land-grant status. The university was only the second public institution of higher learning in the U.S. to admit women and men equally. As the years have gone by, we have remained committed to creating a level playing field where all can succeed and overcoming any challenges in our path. Whether it be raging fires, devastating tornados or man-made obstacles, K-Staters have always remained composed, caring and ready to step in and get the job done. While it would be easy to bask in today's success, we know tomorrow will bring challenges at home and far away. In Fall 2023, K-State launched a new strategic planning initiative — Next-Gen K-State. Through the initiative, a clear vision, values and path forward will carry the institution in to the future.

The benefits you receive as a K-State employee vary widely and some are determined by your employee classification. A sampling of the benefits you can access include:

• Health insurance
• Retirement plans
• Life Insurance
• Vacation, sick and special leave
• Paid holidays
• Tuition assistance
• Employee discounts on campus and in the community

Find more information on our Benefits Page.