4.0 Colorado Springs, CO Job Details Full-time $62,540
$75,000 a year 11 hours ago Benefits Paid jury duty Paid parental leave Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Parental leave Vision insurance Retirement plan Qualifications Data analysis reporting Metrics Reporting Full Job Description University Staff Description IDEA Senior Data Analyst Office of Institutional Data, Effectiveness, and Analytics Elevate Your Career at

UCCS:

Innovate, Inspire, and Impact in the Rockies! Who We Are The University of Colorado Colorado Springs (UCCS) is a premier educational institution that prides itself on academic excellence, research, and community engagement and is actively seeking a Senior Data Analyst to join our team! UCCS is committed to academic excellence, professional development, and fostering an environment that supports innovation and student success. At the base of the Rocky Mountains, Colorado Springs is captivated by its stunning landscapes, making it a paradise for nature lovers. This city is more than its scenery—a mosaic of history, arts, and a vibrant tech scene. We invite you to join a community that cherishes outdoor adventure as much as forward-thinking growth, an exceptional setting for both career and lifestyle.

Salary Range :

$ 62,540.00

$75,000.

00 annually. Compensation will be commensurate upon experience and qualifications. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions.

Work Location:

Hybrid Benefits at a Glance At UCCS, our employees are our most valued asset. We're proud to offer:

Generous Time Off:

Enjoy 22 vacation days, 10 sick days, paid parental leave, 13 recognized holidays, and provisions for bereavement, jury duty, and FAMLI Leave.

Robust Health Coverage:

Our comprehensive medical plans cover preventative care at no cost, including a yearly mental health visit. Plus, benefit from affordable dental, vision plans, and competitive prescription drug prices.

Financial & Retirement Benefits:

Take advantage of our health savings, flexible spending accounts, and life and disability insurance. Plan for your future with our retirement options.

Further Your Education:

Avail twelve (12) waived credits per academic year for courses at any CU campus. We invest in your educational and professional growth.

Wellness & More:

From wellness programs aimed at achieving your best self to various additional benefits through CU Advantage, we prioritize well-being and holistic development. Want to know your total compensation? Use our calculator to get the complete picture! Summary The IDEA Senior Data Analyst is a technical expert and strategic analyst within the Office of Institutional Data, Effectiveness, and Analytics (IDEA) and is responsible for advanced dashboard design, data analytics, and institutional data governance initiatives. The incumbent leads complex data projects and partners with campus leaders to transform data into actionable insight supporting student success, resource planning, and institutional effectiveness. Reporting to the Director of IDEA, the Senior Data Analyst provides mentorship to analysts and helps shape a data-informed culture at UCCS through consultation, documentation, and collaboration. Essential Functions The duties and responsibilities of the position include, but are not limited to: Data Validation (25%

Assesses the quality and accuracy of data used by IDEA and attempts to identify root causes of any inconsistencies.

Collaborates with appropriate campus data stewards and custodians to resolve the concerns. Results are documented to ensure data definitions, metrics, and business rules are aligned with institutional data governance policies. Data may be institutional or external datasets, may include quantitative or qualitative (survey) data, and may require additional data modeling and warehousing efforts in partnership with other data stewards. Query Building (20%

Creates and refines queries that can pull updated and accurate information from various data sources (e.g., People Soft/Campus Solutions, CU Central Information Warehouse, Slate, Qualtrics) to be used by others or in various data reports or visualizations. Report Generation and Data Visualizations (10%
Builds and maintains robust, scalable reports and dashboards to support data-informed decision-making at all levels of the institution.

These projects may require collaboration with senior leaders and stakeholders across Student Success, Academic Affairs, and Administration and Finance to ensure resulting reports and visualizations are applicable and meaningful to users. Mentoring and Training (10%

Mentors junior analysts and provides training or guidance in best practices for data analysis and visualization within IDEA or with campus data users.

The job duties and percentages listed are ty pical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without hanging the general nature and scope of the job or level of responsibility. You may be required to perform other duties as assigned. Tentative Search Timeline Priority will be given to applications submitted by: July 24, 2026 Potential interview dates: July 27, 2026

July 31, 2026 Potential start date: August 11, 2026 CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment.

We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. In accordance with the Equal Pay for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices. Qualifications A bachelor's degree in a relevant field (e.g., data science, social science, education, business analytics) or substitution of year-for-year experience in data analysis, institutional research, business intelligence, or related field is required. Experience analyzing data and generating reporting to support decision and improve outcomes in an organizational setting is required. A master's degree in a related field (e.g., education research, data analytics, economics, statistics, public policy) or substitution of year-for-year experience for the degree, is preferred. Experience leading research or assessment initiatives in a university setting is highly desirable. Familiarity with UCCS systems such as Campus Solutions/PeopleSoft, Oracle, Cognos, Tableau, Ad Astra, Slate, StarRez, and the CU Data Governance framework is highly desirable. Evidence of contributions to fostering data culture or improving institutional data processes is desired. The University of Colorado Colorado Springs has implemented a misconduct history check program with respect to final candidates for specific appointments. The misconduct history check program is intended to allow UCCS to collect and review information about a candidate's conduct at their previous institutions, specifically conduct related to sexual misconduct, harassment, and/or discrimination

before making hiring decisions.

All final candidates to these appointments are required to complete an Authorization to Release Information and provide contact information for their previous institutions.

Note:

This job description outlines this role's general responsibilities, qualifications, and physical requirements at UCCS. It is not an exhaustive list of all required duties, responsibilities, and qualifications. The university reserves the right to modify, add, or remove duties and responsibilities as needed to meet the university's needs. Special Instructions to

Applicants :

Applications submitted by 7/24/2026 will receive full consideration.

Applications submitted through email or surface mail will not be considered. Please apply at cu.edu/cu-careers (job #: 40386).
Official transcripts will be required upon hire.
Upon request, please be prepared to provide five professional references (at least two previous/current supervisors), including their email contact information.

If you have technical difficulties with your application, please contact the CU Careers help desk at 303-860-4200 #5 or . Job related inquiries should be directed to the posting contact. This position does not include new visa sponsorship for individuals outside the U.S. Candidates must already be in the United States with valid work authorization or an employment-based visa. The university will not initiate sponsorship for those who do not currently hold a U.S. work visa or authorization. If you already have valid U.S. work authorization or are on a visa that permits employment, we welcome your application. Applicants should either reside in Colorado or be prepared to relocate within two months of starting employment. We're excited to welcome new team members and will provide support and resources to help make your transition to Colorado as smooth as possible.

Application Materials Required :

Cover Letter, Resume/CV Application Materials Instructions :

Please identify the job specific minimum qualifications you possess in your cover letter and be sure your resume includes any and all relevant experience to be accurately assessed against the qualifications listed in the posting. To apply, please submit the following application materials to this posting. 1. A current resume. Must include date ranges to include month and year (mm/yyyy) and whether the position was full time or part time. When submitting the materials, check the Job Specific Attachments box next to each document in order for the search committee members to see your materials

Job Category :

Business Services Primary Location :

Colorado Springs Department :

C0001

Colorado Springs Campus
40238

•

VCAF-Inst Data, Eff &Analytics Schedule :

Full-time Posting Date :

Jul 6, 2026

Unposting Date :

Ongoing Posting Contact Name :

Shawn Hood Posting Contact Email :

Position Number :

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