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Afternoon Data Analyst R Programming Jobs in Denver, CO

Senior Data Analyst

Aurora, CO · On-site

$100K - $110K/yr

The Senior Data Analyst will identify operational revenue cycle performance improvement ... Experience in STATA, Python or R (or similar data science tool/language); and visualization tools ...

Senior Data Analyst

Boulder, CO · On-site +1

$89K - $112K/yr

The Senior Data Analyst will identify operational revenue cycle performance improvement ... Experience in STATA, Python or R (or similar data science tool/language); and visualization tools ...

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

Partner with BI and engineering teams to define and improve upstream data pipelines and data ... Analyze performance across the PACE funnel (Lead Intake HSD Enrollment Start of Care) * Perform ...

Partner with BI and engineering teams to define and improve upstream data pipelines and data ... Analyze performance across the PACE funnel (Lead → Intake → HSD → Enrollment → Start of ...

Revenue Operations Data Analyst

Denver, CO · On-site +1

$103K - $130K/yr

Partner with BI and engineering teams to define and improve upstream data pipelines and data ... Analyze performance across the PACE funnel (Lead → Intake → HSD → Enrollment → Start of ...

Market Research Data Analyst

Denver, CO · On-site

$90K - $115K/yr

Survey programming & fielding * Quantitative data analysis * Advanced proficiency in: * R or Python * Qualex * Survey platforms * Strong statistical foundation. * Experience managing large datasets.

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 ...

Senior Data Analyst

Denver, CO

$89K - $113K/yr

Partner with Data Engineering teams to define and improve data pipelines and analytical workflows  Data Transformation & Analysis  * Clean, manipulate, and transform complex datasets using ...

Senior Data Analyst

Denver, CO · On-site

$89K - $113K/yr

Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows Data Transformation & Analysis * Clean, manipulate, and transform complex datasets using Python (e.g ...

Senior Data Analyst

Denver, CO · On-site

$89K - $113K/yr

Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows Data Transformation & Analysis * Clean, manipulate, and transform complex datasets using Python (e.g ...

Senior Data Analyst

Denver, CO · On-site

$89K - $113K/yr

Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows Data Transformation & Analysis * Clean, manipulate, and transform complex datasets using Python (e.g ...

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 ...

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Afternoon Data Analyst R Programming information

See Denver, CO salary details

$35K

$85.1K

$140K

How much do afternoon data analyst r programming jobs pay per year?

As of Jun 15, 2026, the average yearly pay for afternoon data analyst r programming in Denver, CO is $85,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $99,800.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

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

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
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 job categories do people searching Afternoon Data Analyst R Programming jobs in Denver, CO look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Denver, CO are:
What cities near Denver, CO are hiring for Afternoon Data Analyst R Programming jobs? Cities near Denver, CO with the most Afternoon Data Analyst R Programming job openings:

Senior Data Analyst

CU Medicine

Aurora, CO • On-site

$100K - $110K/yr

Full-time

Posted 7 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 Senior Data Analyst to join our team.
This job can be performed 100% remotely and out of state candidates will be considered.
The Senior Data Analyst will identify operational revenue cycle performance improvement opportunities through proactive collection, analysis and interpretation of data and communicate this insight to key decision makers. The individual in this position will participate in new initiatives as a partner in the original and continuous discovery of the link between business process improvement and actionable data. The Sr. Analyst will be tasked with researching and developing investigative and root cause tools and strategies that positively impact operational improvement.
Essential Duties
  • Utilize revenue cycle data and statistical methods to provide diagnostic and predictive insight into operational performance based on knowledge of business objectives while proactively suggesting methods of improving operations and implementing methodologies.
  • Identify user needs and product requirements for Operational Analytics reporting assets/tools including selection, design, documentation, testing and implementation of products based on these requirements.
  • Facilitate strategic decisions through optimized reporting, advanced analytics and proactive discovery.
  • Initiate/participate/influence in relevant meetings or presentations to provide subject matter expertise and guidance to executive leadership.
  • Support decision makers in using appropriate analytics tools and processes in order to perform advanced data analysis.
  • Maintain project plan and priority status for all projects to ensure project timelines are met.
  • Perform other duties and assist with special projects as assigned.

Requires a bachelor's degree in statistics, computer science or business-related field and 7-10 years relevant experience, preferably in a physician billing or hospital environment. An MBA is highly preferred. Must have expert level proficiency in report development using SQL Server Management Studio and Microsoft Excel, with strong working experience in the development of spreadsheets, pivot tables and visualizations. Experience in AthenaIDX is preferred. Experience in STATA, Python or R (or similar data science tool/language); and visualization tools such as Tableau or PowerBI is highly desired. Epic Clarity Certification (in any Clinical and/or Revenue Cycle modules) is a plus. The ability to gather information and understand the context from several sources, analyze this information to draw conclusions and make proactive recommendations to high level decision makers is essential to success. Must have strong project management skills and the ability to ensure project timelines are met. Experience in Six Sigma or similar methods for process improvement initiatives is preferred. The ability to work in a team environment working cohesively with others to achieve goals and initiatives is required. 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.
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 will post all jobs for a minimum of 7 days or until 250+ applicants have been received (whichever comes first).
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.