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Full Time Data Analyst R Programming information
See Aurora, CO salary details
$34.5K - $44K
4% of jobs
$44K - $53.4K
7% of jobs
$53.4K - $62.8K
13% of jobs
$63.4K is the 25th percentile. Wages below this are outliers.
$62.8K - $72.2K
18% of jobs
The median wage is $76.6K / yr.
$72.2K - $81.6K
16% of jobs
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13% of jobs
$94.6K is the 75th percentile. Wages above this are outliers.
$91.1K - $100.5K
9% of jobs
$100.5K - $109.9K
5% of jobs
$109.9K - $119.3K
9% of jobs
$119.3K - $128.7K
3% of jobs
$128.7K - $138.2K
2% of jobs
$34.5K
$84K
$138.2K
How much do full time data analyst r programming jobs pay per year?
What is the difference between Full Time Data Analyst R Programming vs Data Scientist?
| Aspect | Full Time Data Analyst R Programming | Data Scientist |
|---|---|---|
| Required Skills | Data analysis, R programming, SQL, Excel | Data analysis, R/Python, machine learning, statistics |
| Work Environment | Business, finance, healthcare, corporate settings | Research, tech companies, startups, academia |
| Certifications | Data analysis, R certifications, SQL certifications | Data science, machine learning, Python/R certifications |
Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 11 days ago
University Of Colorado Boulder rating
8.2
Based on 39 frontline employees who took The Breakroom Quiz
139th of 612 rated colleges and universities
Job description
University of Colorado Anschutz
Department: School of Medicine, Office of the Dean
Job Title: Data Analyst
Position #: 00846264 - Requisition #: 39401
Job Summary:
The University of Colorado (CU) Anschutz School of Medicine (SOM) Research Office, within the Dean's Office, is seeking an experienced and skilled Data Analyst to lead data analysis, reporting, and visualization for Biomedical Research activities and Service Centers, and for Centers and Institutes in the School of Medicine. This position will report to the Research Office Manager.
In this role, the Data Analyst will serve as a subject-matter expert (SME) for the unit, analyze research-related financial and operational data, build dashboards, and support leadership in answering strategic questions. Strong analytical and visualization capabilities are critical. Cross-functional collaboration and communication skills are also important, as the Data Analyst will work closely with research leadership, finance, and IT teams to ensure data integrity and actionable insights.
Specific projects may include: Tracking research expenditures of faculty receiving SOM grant funding; tracking requests, expenditures, and future commitments of Centers and Institutes; building dashboards for visualization of activities of SOM research cores, Centers, or Institutes (with data related to finances, services requested, key outcomes, etc.); extracting departmental research and Center/Institute expenditure data for space utilization reporting; creating dashboards and reports of financial commitments of Research Affairs office to support faculty recruitment, retention, and re-investment, and of SOM to support Center and Institutes.
Examples of Work Performed:
Analyze financial and operational data related to biomedical research, service center, and center/institute activities.
Develop dashboards and reports to support leadership decision-making.
Collaborate with stakeholders to define data requirements and reporting needs.
Monitor cost center performance and support budget planning and forecasting.
Ensure data accuracy, consistency, and compliance with institutional standards.
Support data integration across systems (e.g., Oracle Cloud, Azure, SAP).
Present findings and actionable recommendations to leadership and working groups.
Contribute to process improvement and administrative centralization initiatives.
Assist in the development of data governance and documentation practices.
This description summarizes the general nature and level of work being performed and is not intended to be all-inclusive. Duties and responsibilities of this position may change based on business needs. The University reserves the right to add or modify duties and responsibilities at the discretion of the supervisor.
Work Location:
Hybrid - this role is eligible for a hybrid schedule of at least three (3) days per week on campus and as needed for in-person meetings.
Why Join Us:
The University of Colorado School of Medicine offers comprehensive, lifelong, interdisciplinary learning for health care professionals. With state-of-the-art laboratories for discovery and innovation, a commitment to decreasing health disparities and increasing health equity, and faculty who provide world-class clinical care, the CU School of Medicine is transforming the health care landscape.
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: 15/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 business or data analytics, data science, computer science, engineering, business or public administration, or related field.
Three to four (3-4) years of experience conducting quantitative analysis and data interpretation, designing dashboards or reports for decision-making, and collaborating with cross-functional teams.
Substitution: A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor's degree on a year-for-year basis.
Applicants must meet minimum qualifications at the time of hire.
Applicants must be legally authorized to work in the United States without requiring sponsorship. We are unable to provide work visa sponsorship or employment authorization for this position now or in the future.
Preferred Qualifications:
Master's degree in business analytics, data analytics, or related data-focused fields.
Experience supporting research service centers, shared resources, or core facilities, including coordination of operations, stakeholders, and service delivery.
Experience working in higher education, academic medicine, or healthcare systems.
Certifications or experience using data visualization and analytics tools such as Power BI, Tableau, advanced Excel, SQL, or data querying tools.
Knowledge, Skills, and Abilities:
Data visualization and dashboard development (Power BI, Tableau, or similar tools).
Strong proficiency in Excel for financial and operational analysis.
Exposure to large datasets and integrating data from multiple systems.
Ability to translate complex data into clear insights and visual reports for leadership.
Strong analytical, problem-solving, and organizational skills.
Effective communication and presentation skills when sharing findings with stakeholders.
How to Apply:
For full consideration, please submit the following document(s):
A letter of interest describing relevant job experiences as they relate to the listed job qualifications and interest in the position
Curriculum vitae / Resume
Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address
Questions should be directed to: Lauren Anneberg at lauren.anneberg@cuanschutz.edu
Screening of Applications Begins:
Applications will be accepted until finalists are identified, but preference will be given to complete applications received by July 23, 2026. Those who do not apply by this date may or may not be considered.
Anticipated Pay Range:
The starting salary range for this position has been established as $69,591 to $88,519.
The above salary 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 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.
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