Decision Support Analyst (Term-limited, 1 year)

Job Summary:

The Decision Support Analyst is a detail-oriented role that supports the school's decision-making processes through the gathering, analysis and interpretation of financial and administrative data, both qualitative and quantitative. This role will utilize querying and scripting languages to acquire and manipulate data from various platforms.

This position will support school leadership in decision-making processes related to financial and operational activities and school efficiencies. This role will enhance overall data literacy throughout the campus by creating meaningful and intuitive dashboards via tableau and other reporting software. This role requires strong analytical skills, the ability to work with large datasets, and a talent for transforming data into understandable and actionable information.

Key Responsibilities:

Data Management & Analysis - 100%

• Gather, validate, and analyze data from various sources such as the university's central data warehouse, advancement, student data, market analyses, and peer institutions.

• Ensure the accuracy and integrity of data by collaborating with the central campus data enablement team and performing regular data quality checks.

• Develop and consistently maintain periodic dashboards, reports, and visualizations in Tableau, Power BI and excel to communicate findings to school stakeholders.

• Collaborate with school management and departments to provide data-driven business recommendations and identify trends or patterns for business strategies and initiatives.

• Document methodologies, processes, and findings for future reference and continuous improvement.

• Participate in regular team meetings and contribute to discussions on data-related strategies and improvements.

• Ad-hoc analysis as requested

• Collaborate with internal data analytics groups to broaden overall data literacy and access (code sharing, knowledge sharing, etc.).

• Participate in data governance initiatives throughout the campus to ensure best practices and standards are being met.

Work Location:

Hybrid - This role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings upon completion of training and approval from supervisor.

Please be advised that this position is not eligible now or in the future for visa sponsorship.

Why Join Us:

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

• Medical: Multiple plan options

• Dental: Multiple plan options

• Additional Insurance: Disability, Life, Vision

• Retirement 401(a) Plan: Employer contributes 10% of your gross pay

• Paid Time Off: Accruals over the year

• Vacation Days: 22/year (maximum accrual 352 hours)

• Sick Days: 15/year (unlimited maximum accrual)

• Holiday Days: 10/year

• Tuition Benefit: Employees have access to this benefit on all CU campuses

• ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

• Bachelor's degree in computer science, management/computer information systems, computer engineering, information technology, mathematics, or a directly related field from an accredited institution.

• 1 year of professional experience in data analysis, business intelligence or directly related experience.

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

• Experience working with Python programming languages.

• Previous project experience in data analysis.

• Experience working with data analysis and visualization tools like Power BI, SQL, Python, and Tableau.

• Experience with an Oracle SQL Server.

• Experience working with Snowflake.

Conditions of Employment:

• Please be advised that this position is not eligible now or in the future for visa sponsorship.

Knowledge, Skills and Abilities:

• Proficiency in data analysis and visualization tools like Tableau, SQL, Python, and Power BI

• Proficiency in statistical concepts and methodologies

• Proficiency in Oracle SQL Server

• Proficiency in Snowflake

• Strong analytical and problem-solving skills

• Ability to communicate effectively, both in writing and verbally

• Attention to detail and a strong commitment to data integrity

• Ability to seek, manage, and maintain effective working relationships.

• Ability to make timely, critical decisions and solve complex problems.

• Ability to work independently while maintaining transparency with leadership.

• Ability to prioritize and manage several milestones and projects efficiently

• Outstanding customer service skills.

How to Apply:

For full consideration, please submit the following document(s):

1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position

2. Curriculum vitae / Resume

3. Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address

Questions should be directed to: Natalie Skagges - NATALIE.SKAGGS@CUANSCHUTZ.EDU

Screening of Applications Begins:

Applications will be accepted until finalists are identified, but preference will be given to complete applications received by October 31, 2025. Those who do not apply by this date may or may not be considered.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as $61,370 - $78,063.

The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.

Total Compensation Calculator

Equal Employment Opportunity Statement:

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.

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@cuanschutz.edu.

Background Check Statement:

The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

Vaccination Statement:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.