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Data Analyst R Programming Jobs in Denver, CO (NOW HIRING)

Data Analyst

Denver, CO · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering ... solve engineering problems, performing statistical analysis, and coding (e.g. SQL, Python, R)

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering ... solve engineering problems, performing statistical analysis, and coding (e.g. SQL, Python, R)

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

Data Analyst

Aurora, CO · On-site

$65 - $95/hr

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

We do this in three ways data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for a self-starter ...

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

Data Analyst

Broomfield, CO · On-site

$70 - $90/hr

Knowledge of Python or R for data analysis or automation * Experience in Fintech, payments, or financial services What we Offer * Competitive annual compensation range of $70,000 to $90,000 * Annual ...

Data Analyst

Broomfield, CO · On-site

$70K - $90K/yr

Knowledge of Python or R for data analysis or automation * Experience in Fintech, payments, or financial services What we Offer * Competitive annual compensation range of $70,000 to $90,000 * Annual ...

We do this in three ways data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for a self-starter ...

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Showing results 1-20

Data Analyst R Programming information

See Denver, CO salary details

$35K

$85.1K

$140K

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

As of Aug 20, 2026, the average yearly pay for 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 a data analyst r programming?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a data analyst r programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the key skills and qualifications needed to thrive in the data analyst r programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

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 Data Analyst R Programming jobs in Denver, CO?

For Data Analyst R Programming jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Data Analyst R Programming jobs in Denver, CO look for?

The top searched job categories for Data Analyst R Programming jobs in Denver, CO are:

Infographic showing various Data Analyst R Programming job openings in Denver, CO as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $85,060 per year, or $40.9 per hour.

Data Analyst

ResolveSoft Inc

Denver, CO • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Position: Data Analyst

Location: Onsite, Denver, CO
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.


Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.


Required Qualifications


  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.


Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.



Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.