General Description

Join a pioneering experiential learning initiative designed to solve real-world challenges for our community and campus partners. This project provides students in data-focused fields with a unique opportunity to apply their classroom knowledge to impactful projects, develop in-demand professional skills, and build a powerful portfolio. You will be hired as a Student Data Analyst and matched to a specific project based on your skills and interests, working with community partners.

Pay Rate: $12 – $18 per hour Duration: 34 weeks (Academic Year: Fall and Spring Semesters) Hours: 10-12 hours per week Location: Stephens College of Business Supervisor: Dr. Shafqat Ali Shad & Dr. Carolyn Garrity Essential Job Duties As a Student Data Analyst, you will be responsible for a full analytics lifecycle on a dedicated project. Your duties will include:

Collaboration: Meeting with a community or campus partner to understand their business challenges and data needs.

Data Wrangling: Identifying, collecting, cleaning, and managing data from various primary and secondary sources.

Analysis & Modeling: Performing statistical analysis, identifying trends, and building models to generate actionable insights.

Data Visualization: Creating clear and compelling charts, graphs, and interactive dashboards (using tools like Tableau, Power BI, or Excel) to communicate findings.

Storytelling: Synthesizing your analysis into formal reports and presentations to provide data-driven recommendations to stakeholders.

Project Management: Managing your time effectively to meet project milestones and deadlines. Education and Experience Current UM students Major/Minor in Data Analytics or Minor in Cybersecurity or Business Major who already completed QM237 & QM238 Skills, Knowledge, and Abilities Required Skills & Knowledge Successful completion of introductory courses in data, statistics, or programming.

Proficiency with Microsoft Excel for data analysis (e.g., PivotTables, formulas). and Python

Strong intellectual curiosity, problem-solving skills, and a desire to learn.

Excellent written and verbal communication skills.

Ability to work independently and manage time effectively across a long-term project.

Preferred Skills & Knowledge Experience with one or more of the following: SQL, Python, R, Tableau, Power BI, or Google Analytics.

Experience working on a team-based project (academic or professional).

A strong academic record. Preferred Major Data Analytics, Cybersecurity, or Marketing Licenses, Certification or Registrations None Required Number of Vacancies 4 Desired Start Date 09/19/2025