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

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

Partner with technical and project leads across process engineering, chemistry, biology, and ... Experience analyzing spectroscopy and spectrometry data. * Experience with common biological assays ...

Data Analyst

Greenwood Village, CO · Remote

$60 - $70/hr

Perform code reviews with other developers. * Collaborate with other members of the team. Experience Requirements: * 5-10 years of experience in data engineering or analytics. * Strong proficiency in ...

Data Analyst Client: CO CDE Location: 201 E Colfax Ave Denver, Colorado 80203-0000 (Remote ... IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ET ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Senior Data Analyst

Denver, CO · On-site

$78K - $128K/yr

Pay Range: $78,100.00 - $128,500.00 The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted ...

Senior Data Analyst

Denver, CO · On-site

$78K - $128K/yr

Pay Range: $78,100.00 - $128,500.00 The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted ...

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)

Senior Data Analyst

Denver, CO · On-site

$78K - $128K/yr

Pay Range: $78,100.00 - $128,500.00 The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted ...

You will pull data from across the drilling, completions, production, and geoscience domains, reconcile it into something trustworthy, and turn it into analysis that geologists, engineers, and ...

The role involves leading data analysis efforts, utilizing SQL and analytics tools to extract ... R or scripting) • Maintain strong task ownership -- Track and complete multiple requests (A/B/C ...

Senior Strategic Sourcing Data Analyst

Denver, CO · On-site

$88K - $111K/yr

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)

Senior Strategic Sourcing Data Analyst

Denver, CO · On-site

$88K - $111K/yr

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)

Showing results 21-40

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 Sep 10, 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 September 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

Boulder, CO • On-site

$100K - $150K/yr

Other

Medical, Dental, Vision, Retirement

Posted 23 days ago


Key responsibilities

  • Perform ad hoc statistical analysis on experimental data using frequentist and Bayesian methods as appropriate.

  • Develop and implement analysis pipelines to ensure reproducible and rigorous results.

  • Create dashboards for real-time monitoring of laboratory processes and data results.


Job description

About Alta

Alta Resource Technologies (Alta) is a next generation mining company that uses synthetic biology to separate critical minerals from conventional and unconventional resources, including e-waste. Founded in 2023, the company is expanding its team in Boulder, CO. The exponential growth of new tech industries, as well as the information technology sector, are driving historic growth in mineral demand and stressing existing supply streams. Meeting new demand, diversifying the supply chain, and producing minerals in a more sustainable manner requires the rapid development, deployment and scaling of new technologies. This mineral challenge represents a historic opportunity for technology development and value creation. Alta is proud to be at the vanguard of this mega trend.


Role Summary

We are seeking a Data Analyst with experience handling diverse scientific datasets. The person in this position will be tasked with performing ad hoc analysis and developing pipelines to securely store raw data, catalog this data and prepare it for downstream analysis. A successful candidate will establish real time monitoring of laboratory systems and accelerate product development by facilitating data integrity and real time analysis and dashboards for a variety of data types. This position will report to the VP Data and Information Systems.


Key Responsibilities

  • Experimental Design and Planning: Collaborate with technical teams to ensure statistical rigor by supporting randomized experimental design and evaluating assay performance through power analysis.

  • Robust Statistical Analysis: Perform ad hoc statistical analysis on novel experiments, applying frequentist methods (ANOVA, regression, GLM) as the standard approach, with Bayesian methods where appropriate (e.g., small samples, sequential designs, incorporating prior data).

  • Develop Analytical Pipelines: Develop standard analysis pipelines to ensure rigorous, reproducible results as projects advance.

  • Develop Data Dashboards: Develop dashboards that allow key stakeholders to monitor processes and results in real time.

  • System Integration: Develop processes to ensure data management is integrated with other support systems (LIMS, JIRA, etc)

  • Cross-Functional Collaboration: Partner with technical and project leads across process engineering, chemistry, biology, and biotech to ensure data and data reports are available to the appropriate stakeholders.

  • Documentation & Testing: Ensure all data packages and pipelines are documented and tested.


Required Qualifications

  • Experience level:


    • Bachelor's or Master's in Statistics, Biostatistics, Chemical Engineering, Bioinformatics, Cheminformatics, or related fields with 5-8 years of experience, or a PhD with 3-5 years of experience.


  • Strong grounding in frequentist statistics (DOE, ANOVA, regression); familiarity with Bayesian methods a plus.

  • Understanding and experience with Design of Experiment (DOE) approaches.

  • Proficiency with Python.

  • Proficiency with workflow management tools such as Nextflow or Snakemake.

  • Understanding of version control and experience with version control systems such as git.

  • Experience with dashboard development tools such as Dash or Streamlit.

  • Please note: Applicants must be authorized to work for ANY employer in the U.S.


Preferred, But Not Required

  • Experience with process engineering.

  • Experience with common cloud providers (AWS/Azure).

  • Experience analyzing spectroscopy and spectrometry data.

  • Experience with common biological assays, including fluorometric assays, protein quantification, or gel electrophoresis.

  • Experience with shell scripting (Bash, Zsh, etc).

  • Experience with FAIR data principles.


What We Offer

  • The opportunity to lead a breakthrough program redefining U.S. supply chain resilience in critical materials.

  • A mission-driven, high-trust team operating at the intersection of innovation, national security, and sustainability.

  • High Impact & Visibility: Direct interaction and reporting to executive leadership.

  • Competitive compensation and benefits package.

    • The starting annual salary range for this position is $100,000 to $150,000 commensurate with educational background and work experience.

    • Benefits include:

      • 401(K)

      • Medical, Dental, Vision plans (or equivalent)

      • Flexible Time Off

      • Paid Parental Leave

      • Paid Sick Leave

      • Company Holidays






EOE

Alta Resource Technologies is an equal opportunity employer committed to building a workforce that reflects the diversity of the communities we serve. We believe that varied perspectives, experiences, and backgrounds strengthen our team and drive better outcomes for our clients and partners.


We welcome and encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. Our hiring decisions are based solely on qualifications, merit, and the needs of the business. Alta participates in e-Verify for all positions.


If you require accommodations at any point in the hiring process, please let your recruiter know.


For information about Alta's privacy practices, see our Privacy Policy.

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