Essential Functions
The MCE A&A work-study student will support the College by assisting with:
- Collecting, cleaning, analyzing, and reporting data for accreditation and assessment purposes.
- Designing, creating, and administering surveys for accreditation and assessment purposes.
- Cleaning, analyzing, and reporting public data from University systems (e.g., Banner, Cognos, Qualtrics, Canvas).
- Co-coordinating the LIS ALA self-study report and site visit
- Responding to other ad-hoc data requests as needed.
Knowledge, Skills, & Abilities
- Competency in Microsoft Office Suite (e.g., Word, Excel, PowerPoint, Outlook)
- Manage and manipulate data within Excel spreadsheets
- Strong interpersonal skills (e.g., comfortable asking questions / for help, gives and receives constructive feedback)
- Effective oral and written communication skills
- Ability to work well with a diverse team as well as work independently with minimal supervision
- Effective data analysis and presentation skills
- Effective time management (e.g., ability to meet deadlines or promptly communicate timeline adjustments as needed, establish priority of projects, coordinate multiple projects)
- Good attention to detail
- Ability to maintain confidentiality and security of information
Required Qualifications
- Experience using online survey software (e.g., Qualtrics, Survey Monkey, Doodle)
- Experience using Excel to manage and visualize data (e.g., pivot tables, formulas such as vlookups, charts, graphs)
- Demonstrated experience with Microsoft Office Suite (e.g., Word, Excel, PowerPoint)
- Demonstrated experience working with small to medium sized data sets (e.g. 2,000+ cases)
Preferred Qualifications
- Currently pursuing a bachelor or graduate degree from an accredited college or university in information systems, computer science, social science/education research methods, or related data analysis/management field
- Demonstrated experience using learning management systems (e.g., Canvas, Blackboard)
- Demonstrated experience using statistical software (e.g., SPSS, SAS, R)
- Demonstrated experience working with relational databases to manage and query large sized data sets (e.g., 2,000+ cases)
Working Environment
- Standard office environment.
- Unexpected interruptions occur often, and stress level is moderate to high.
- Noise level is quiet to moderate.
Physical Activities
- Ability to sit in front of a computer for an extended period.
- Occasionally required to move about the office/campus with the capability of transporting objects up to 20 lbs.
Work Schedule
- The number of hours will be determined by academic schedule restrictions and the needs of supervisors (flexible).
- Specific scheduled to be determined with supervisor; hours will be within Monday – Friday, specific daily work schedule to be determined.
Equal Employment Opportunity Statement & Notice of Background Check
The University of Denver is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For more information, please see the University of Denver’s Non-Discrimination Statement.
All offers of employment are based upon satisfactory completion of a criminal history background check. These are required for all part-time, full-time and student employee hires.
