Senior Data Analyst

Note for Current UM Employees

Current employees must apply internally via ConnectU > connectu.olemiss.edu

The University of Mississippi

"The University of Mississippi — fondly referred to as Ole Miss — stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member — student, faculty, and staff — can achieve their fullest potential.”

Department Summary

The Office of Institutional Research, Effectiveness, and Planning (IREP) serves the University of Mississippi by providing institutional information to meet the decision-making, assessment, evaluation, reporting, accreditation, and planning needs of faculty, staff, academic, and administrative leaders. IREP also leads the institution’s compulsory and voluntary reporting requirements and fulfills data request from institutional stakeholders.

 

What it means to be a part of IREP

 

At IREP, we demonstrate our core values of integrity, continuous improvement, innovation, service orientation, supportive environment, and valued work by:

• Adhering to ethical and professional standards
• Encouraging the use of data to improve the effectiveness of current activities and to plan for the future
• Executing duties in a timely, consistent, accurate, transparent, and neutral manner
• Engaging others through collaborative interactions and in accordance with the UM creed
• Recognizing our work as critical to the success of our institution
• Developing innovative approaches to inform decision making

Role Specifications

Below you will find classification and compensation information.  For additional details behind the University of Mississippi classification system please visit Human Resource Compensation Page

Family - Information Technology

Sub-Family - Data Analytics 

Career Track / Level - P3

Grade - 10

Min Mid Max $68,682 $85,842 $103,002

Role Summary

Provides moderate to complex analysis of data using statistical techniques to discover trends/patterns that can be leveraged to meet business needs.

Examples of Work Performed

• Collects, prepares, and integrates various large and complex data sets to be utilized in various assessment scenarios.
• Analyzes and models data to identify trends, test hypotheses, formulate recommendations, and answer questions.
• Composes and assembles reports based on the analysis of various large and complex data sets to clearly articulate results and findings to multiple and diverse audiences.
• Design and develop institutional dashboards (e.g., enrollment, retention, graduation rates) using tools like Tableau/Power BI for campus leadership and external reporting.
• Work with large datasets from institutional data warehouses using advanced SQL to support strategic reporting.
• Design and build reporting tables and data models in a SaaS data warehouse environment to support consistent, repeatable institutional reporting.
• Automate data processes using tools like R/Python to reduce manual workload and increase efficiency.
• Provide training and support to colleagues and campus stakeholders on data tools and dashboards.
• Develop and maintain institutional data definitions, codebooks, and metadata documentation.
• Collaborate with campus offices (Admissions, Registrar, HR) to integrate data from multiple systems.

Essential Functions

These essential functions include, but are not limited to, the following.  Additional essential functions may be identified and included by the hiring department.

1. Collects, prepares, and integrates various large and complex data sets to be utilized in various assessment scenarios.
2. Analyzes and models data to identify trends, test hypotheses, formulate recommendations, and answer questions.
3. Composes and assembles reports based on the analysis of various large and complex data sets to clearly articulate results and findings to multiple and diverse audiences.

Minimum Education/Experience

Education: Bachelor's Degree

Experience: (6) Six Years Experience

 

An equivalent combination of related experience and education may be considered for this role. Substitutions of the required experience or education will be assessed on a 1:1 substitution basis.

 

 

The Office of Institutional Research, Effectiveness, & Planning anticipates that the senior data analyst will not be a fully remote position; however, the position will be eligible for a hybrid remote w