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Entry Level Data Analyst R Programming Jobs in Denver, CO

GARGI TECHNOLOGIES INC

Data Scientist

Denver, CO

... or R for data analysis, with hands-on experience using libraries such as Pandas, NumPy, Scikit ... Roles & Responsibilities: 1. Work closely with Team Leader, data engineers, product managers, and ...

nLeague

Informatica Data Analyst

Denver, CO · On-site

Web accessibility developer Job Id: Digital Accessibility -Website Developer Client: CT DAS ... You will partner closely with our accessibility testers and analysts to turn accessibility audit ...

Accenture

Data Protection Sr. Analyst

Denver, CO · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Ra

Health Analyst

Denver, CO

You are powerful in data science, business reporting, and statistical analysis. * You are proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You have ...

Ra

Healthcare Analyst

Denver, CO · On-site

You are powerful in data science, business reporting, and statistical analysis. * You are proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You have ...

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All JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Denver, CO

Entry Level Data Analyst R Programming information

See Denver, CO salary details

$13

$33

$63

How much do entry level data analyst r programming jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for entry level data analyst r programming in Denver, CO is $33.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.84 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
What are the most commonly searched types of Data Analyst R Programming jobs in Denver, CO? The most popular types of Data Analyst R Programming jobs in Denver, CO are:
What are popular job titles related to Entry Level Data Analyst R Programming jobs in Denver, CO? For Entry Level Data Analyst R Programming jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Denver, CO look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Denver, CO are:
Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Denver, CO as of June 2026, with employment types broken down into 2% As Needed, 25% Full Time, 64% Part Time, and 9% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $70,493 per year, or $33.9 per hour.
Senior Professional Data Analyst - Graduate School

Senior Professional Data Analyst - Graduate School

University of Colorado

Boulder, CO • On-site

$89K - $112K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 8 days ago

University Of Colorado Boulder rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

149th of 537 rated colleges and universities

Job description

Job Summary
The Dean of the Graduate School at CU Boulder is searching for a Senior Professional Data Analyst! This role is responsible for the robust development, collection, analysis, interpretation, and visualization of varied complex institutional and cocurricular data sets relevant to graduate education and the strategic goals of the Graduate School. This position manages survey administration and analysis, performs data manipulation and analysis, and creates data products, reports, and dashboards.
As a senior professional level position, the incumbent is expected to apply deep understanding of theory and practice to define and solve problems of significant scope and complexity, often with non-standard solutions. The position will perform work independently and be a resource to other Graduate School team members. The role will also be expected to communicate complex concepts to individuals outside of the department.
This position will support the Graduate School in their academic mission and central initiatives, serving as a liaison between the Graduate School and the Data & Analytics team within the Office of Information Technology.
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.
Who We Are
The Graduate School at the University of Colorado Boulder serves as the intellectual crossroads of the university. Nearly 6,000 graduate students from around the world come to CU Boulder to pursue graduate certificates, master's and doctoral degrees in over 130 programs. The Graduate School ensures the quality of graduate education at the University of Colorado Boulder by facilitating educational innovations, providing guidance on standard methodologies, and helping to grow and support a vibrant and diverse graduate student community.
What Your Key Responsibilities Will Be
Create Data Strategy and Products
  • Support data gathering and analysis to develop the Graduate School's overall data strategy, reworking raw data into clear, actionable insights, and providing the department with a comprehensive understanding of the data's implications for decision-making and planning.
  • Design, develop, and maintain self-service data dashboards using databases, CRM systems, and Tableau that integrate multiple data sources, enabling Graduate School leadership, student services staff, and graduate programs to easily access and explore key insights.
  • Lead longitudinal data collection and analysis for graduate education, including coordination of surveys, career outcomes data, and key institutional metrics to support ongoing assessment and strategic decision-making.
  • Produce and maintain dashboards and reports to support graduate program assessment, student tracking, and advising, while being a central resource for data location, system integration, and effective use of institutional databases and CRM platforms.
  • Design surveys or other evaluation methods to measure effectiveness of graduate school programming. Analyze results and create infographics and other materials showing program efficacy.
  • Assist with development of executive summaries, slide decks, one-page infographics, and other work, providing insights for presentation of visually compelling and persuasive summaries in reports and presentations to internal and external partners. Assist with presentations, including trainings and presentations of major research/measurement findings.
  • Create and maintain complex files, spreadsheets, databases, reports, queries, etc. based on stated objectives and regularly monitors and reports on the status and completion rates.
  • Be the liaison between Data & Analytics and Graduate School.

Survey Administration and Analysis
  • Collaborate with supervisor, project lead, and campus partners on survey design and methodology, providing guidance on standard processes and refining surveys to address needs.
  • Select and apply survey methodologies to ensure valid and reliable data collection.
  • Serve as the lead administrator and analyst for graduate level surveys, including managing survey setup, invitations, reminders, incentives.
  • Clean and structure response data for analysis and reporting.
  • Select and apply appropriate data management, analytic, and data visualization methods for surveys to interpret results.
  • Assist with administration, analysis, visualization, and presentation of results of student evaluations of teaching (i.e. FCQs).

Data Manipulation and Analysis
  • Engage with Data & Analytics to identify business requirements and data needs related to Graduate School requests, projects, and services.
  • Identify, review, arrange, and collect data to meet Graduate School project specifications and minimize the limitations of subsequent analysis and reports.
  • Curate appropriate data sets to optimize data products.
  • Effectively document code, analytical methods, data sources, and project specs and statuses in the appropriate repository (e.g. GitHub, Atlassian, etc).
  • Evaluate data assets to understand how existing data can inform decision-making or improve processes.
  • Maintain a data governance and security approach; use appropriate documentation, controls, levels of security, and approvals on data sets, reports, and other products.
  • Collaborate with data engineers to request and improve data pipelines and create integrity checks that ensure accuracy and completeness of data sets.

What You Should Know
This position has the ability to work in a hybrid work modality, with required attendance at meetings based on existing needs. The anticipated work schedule is Monday - Friday during regular business hours.
What We Can Offer
The salary range for this position is $90,000 - $96,900 annually. Onboarding assistance is available within department guidelines.
Benefits
At the University of Colorado Boulder , we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.
Be Statements
Be ambitious. Be pioneering. Be Boulder.
What We Require
  • A bachelor's degree in statistics, applied math, computer science, data science, or related field.
  • 3 years of professional experience including:
  • Developing research questions and methodologies, curating data sets, conducting analysis, and building data tools and products, and
  • Using reproducible data analytics workflows, and
  • Using SQL, Python, R, and/or SAS for data queries, data manipulation, and analysis, and
  • Using Tableau or other data visualization tools.

What You Will Need
  • An intellectual curiosity about higher education and how data analytics can advance the university's mission.
  • Skilled in working directly with customers to understand their requirements and translate their needs into data analysis problems and products.
  • Strong written and verbal communication skills with an ability to clearly communicate technical concepts to non-technical audiences.
  • Proficient in data preparation and processing (automating data cleaning and integrity testing) and ability to work with structured and unstructured data.
  • Proficiency with descriptive and exploratory data analysis, advanced statistical analysis, predictive modeling, casual and quasi-casual analysis, and/or natural language processing.
  • Demonstrated proactive work style and creative problem-solving skills.
  • Manage multiple projects and prioritize them appropriately.
  • Attentive to detail, quality, and follow-through with a commitment to continuous improvement.
  • Demonstrated ability in and desire to stay ahead of emerging technologies and adapting to new technologies and tools.
  • Demonstrated organizational skills in handling, directing, and prioritizing multiple and complex assignments and projects.
  • Able to work independently and in collaborative environments and contribute to positive work culture.
  • Commitment to act in alignment with the department, the campus, and the university's values.

What We Would Like You to Have
  • A master's or doctoral degree in applied math, data science, statistics, computer science or related field.
  • 6 years of professional experience which includes:
  • Developing research questions and methodologies, conducting analyses, curating data sets, producing data reports and dashboards, and building data products and tools.
  • Using reproducible data analytics workflows, including version-controlled codebases in GitHub or similar.
  • Proficiency using SAS for data queries, manipulation, and analysis.
  • Mastery in using Python/R and SQL for data queries, manipulation, and analysis.
  • Mastery in multiple applied statistical methodologies or machine learning techniques.
  • Experience with cloud computing environments and data infrastructure.
  • Mastery with Tableau.
  • Experience working in higher education settings, especially with intuitional data such as in an Institutional Research (IR) unit or other data related role.
  • Experience working with large CRM systems (e.g. Salesforce, Slate).

Special Instructions
To apply, please submit the following materials:
  1. A current resume.
  2. A cover letter that specifically tells us how your background and experience align with the requirements, qualifications, and responsibilities of the position.

We may request references at a later time.
Please apply by June 14th, 2026 for consideration.
Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs .
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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