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Entry Level Data Analyst R Programming Jobs in Denver, CO

Epic Clarity Data Analyst

Aurora, CO · On-site

$90K - $100K/yr

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

Bachelor's Degree in Data Analytics, Statistics, Marketing, or a related quantitative field • Minimum Experience: 2 years of experience in data analytics or marketing engineering, specifically ...

Our business reach spans satellite television service, live-streaming and on-demand programming ... Bachelor's Degree in Data Analytics, Statistics, Marketing, or a related quantitative field

Our business reach spans satellite television service, live-streaming and on-demand programming ... Bachelor's Degree in Data Analytics, Statistics, Marketing, or a related quantitative field

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture ... Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms ...

Data/Analytics Engineer

Westminster, CO · On-site

$122K - $168K/yr

Very good Python programming skills are a must. * Experience with ETL processes and migrating from ... Data Engineer, Data Analyst, Data Pipeline, Customer 360, SQL, Python, DOMO, Snowflake, Data ...

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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:
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.

Epic Clarity Data Analyst

CU Medicine

Aurora, CO • On-site

$90K - $100K/yr

Full-time

Medical, Retirement

Posted 3 days ago


Job description

University of Colorado Medicine (CU Medicine) is the region's largest and most comprehensive multi-specialty physician group practice. The CU Medicine team delivers business operations, revenue cycle and administrative services to support the patients of over 4,000 University of Colorado School of Medicine physicians and advanced practice providers. These providers bring their unparalleled expertise at the forefront of medicine to deliver trusted, compassionate health care services at primary and specialty care clinics as well as facilities operated by affiliate hospitals of the University of Colorado.
We are seeking a highly skilled EPIC Clarity Data Analyst to join our Operational Analytics and Automation team.
This job can be performed 100% remotely and out of state candidates will be considered.
The EPIC Clarity Data Analyst will interpret and transform data into accurate, consistent, and timely information while balancing the "big picture" strategic vision with everyday details. The individual in this position will play a key role in the transformation of vast amounts of clinical and business data into meaningful datasets that provide key actionable insights. Position will be responsible for querying EPIC Clarity and AthenaIDX data. The Analyst will be responsible for managing full lifecycle analysis with emphasis on delivery of actionable reporting to fulfill Revenue Services goals.
Primary responsibilities include but are not limited to:
  • Utilize EPIC Clarity to develop reports and dashboards that are timely, relevant, reliable and predictive in nature. Similar reporting/dashboarding in other business applications (i.e. AthenaIDX, Denodo, etc.) is also required.
  • Interpret data, analyze results, and provide actionable reports to stakeholders
  • Collaborate with CU Medicine Revenue Services leadership to prioritize business and information needs
  • Develop data collection processes and other strategies optimizing efficiency and overall quality of reporting deliverables
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Acquire data from primary/secondary data sources and ensure consistency/accuracy of analytics ecosystems across multiple platforms
  • Perform other duties and assist with special projects as assigned

Requires a bachelor's degree in statistics, computer science or business-related area and 2+ years relevant experience, preferably in a physician billing or hospital environment. Must have prior/current experience building dashboards with data visualization tools such as Tableau, Power BI, or similar platforms. Preference will be given to candidates with a track record of success as a healthcare data analyst or similar business analyst. Epic Clarity Data Model Certification is required; experience using AthenaIDX is preferred. Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy is essential to success. The ideal candidate will demonstrate strong project management skills with the ability to advance project progress within a timeline. Must be flexible and maintain positive working relationships.
All applications MUST be submitted via our website. 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.
CU Medicine is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing non-discrimination 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.
CU Medicine is dedicated to ensuring a safe and secure environment for our staff and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees prior to their employment. Additionally, drug and health screenings may be required for some positions.
The listed pay range (or hiring rate) represents CU Medicine's good faith and reasonable estimate of the range of possible compensation at the time of posting and is based on evaluation of competitive market data.
A variety of factors, including but not limited to, internal equity, experience, and education will be considered when determining the final offer.
CU Medicine provides generous leave, health plans and retirement contributions which take your total compensation beyond the number on your paycheck. Find information about our benefits here
CU Medicine supports a Tobacco Free Workplace Environment which prohibits smoking and the use of tobacco products on CU Medicine property, Anschutz Medical Campus and adjacent business locations.
CU Medicine will post all jobs for a minimum of 7 days or until 250+ applicants have been received (whichever comes first)