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Research Data Analyst Jobs in Colorado (NOW HIRING)

Research, Reporting & Documentation: Apply best practices in water conservation and data-driven rate structures, and maintain SOPs, reports, records, and documentation so analyses and processes ...

Sr. Data Analyst

Denver, CO ยท On-site

$85K - $104K/yr

Research, hypothesize and develop analytical approaches for identifying, analyzing, and interpreting trends or patterns in complex data sets, particularly in healthcare claims & lab data. * Ability ...

The Payments Data Analyst addresses critical operational challenges by monitoring and optimizing ... Perform special projects, research, and analysis to deliver strategic presentations requested by ...

Clinical Research Coordinator

Englewood, CO ยท On-site

$27.93 - $35/hr

Our world-class PIs, advanced patient engagement strategies, premium data analytics, and integrated ... Organizes research information for clinical trials. * Observes subjects and assists with data ...

Data Entry

Colorado Springs, CO ยท On-site

$23 - $28/hr

Research data discrepancies and provide root cause analysis. * Learn the ERP system and understand its relationship to all operations. * Extract Master Data as requested by other departments

This position requires strong analytical thinking, attention to detail, and the ability to ... Evaluate data from public records, industry sources, and other research channels to support ...

Research Analyst

Boulder, CO ยท On-site

$88K - $102K/yr

This position requires strong analytical thinking, attention to detail, and the ability to ... Evaluate data from public records, industry sources, and other research channels to support ...

Research Analyst

Boulder, CO ยท On-site

$88K - $102K/yr

This position requires strong analytical thinking, attention to detail, and the ability to ... Evaluate data from public records, industry sources, and other research channels to support ...

Research Analyst Intern Otter's mission is to provide accessible and innovative digital solutions ... Data analytics * Program Language experience 2 years. * Intent to return to degree-program after ...

Showing results 21-40

Research Data Analyst information

See Colorado salary details

$40.5K

$77.8K

$104.6K

How much do research data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for research data analyst in Colorado is $77,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $103,600.00 per year, depending on experience, location, and employer.

Can I be a research data analyst with no experience?

Research data analyst roles typically require some experience with data analysis tools like Excel, SQL, or statistical software, but entry-level positions may be available for candidates with relevant education or strong analytical skills. Gaining certifications or completing relevant coursework can improve chances of starting in this field without prior work experience.

What are some common challenges research data analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

What is the difference between Research Data Analyst vs Data Scientist?

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

What are the key skills and qualifications needed to thrive as a research data analyst, and why are they important?

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

What is a research data analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.
What are popular job titles related to Research Data Analyst jobs in Colorado? For Research Data Analyst jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Research Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,776 per year, or $37.4 per hour.

Water Conservation Data Analyst

Summary

Vail, CO โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

The Water Conservation Data Analyst plays a crucial role in our mission to protect and sustain our water resources. As a key team member in the Water Conservation Department, you will use data analysis to support water conservation goals, create water-saving strategies, and help shape a sustainable future for our community. You will support programs to manage water use across our customer types and influence conservation through data-driven insights.ย 

Weโ€™reย seekingย an individual passionate about using data in an environmental sustainability and water conservation setting. If you thrive on data analysis, enjoy collaborating with diverse teams, and are excited about creating positive change, this role could be a perfect fit.ย 

Why work for us?ย The work you will do as a Water Conservation Data Analyst will allow you to make a real difference in creating a sustainable future for the community where we live, work and play. In addition, we offer excellent health benefits, a housing program, and opportunities for training and development.ย ย 

Day to Day Responsibilities:ย 

  • Data Analysis & Evaluation:ย Use data to support business decisions about water conservation and other internalย initiatives andย track the impacts resulting from our work. Lead sophisticated statistical analyses of water use to refine conservation needs and understand how factors such as outreach, weather, and rates affect customers' water use.ย 
  • Statistical Modeling & Forecasting:ย Build regression and time-series models to quantify how weather, rate changes, and outreach affect water use, and forecast future demand and revenue under different rate and conservation scenarios.ย 
  • Data Engineering & Tooling: Develop andย maintainย reproducible data pipelines, analysis scripts, and interactive tools (R, Quarto, Shiny) using version control, and audit and QC source data for accuracy before it drives analysis, reporting, or billing.ย 
  • Data Management & Visualization:ย Develop and manage interactive dashboards, charts, and reports in Power BI and Shiny to communicate key findings internally and for the public.ย 
  • Cross-Functional Collaboration & Support:ย Partner with departments across the organization to design customer communications and support water conservation and rate initiatives. Serve as a subject-matter resource on water-use data and analysis for other teams andย leadership andย help onboard and mentor interns and analysts on tools, methods, and best practices.ย 
  • Communication & Storytelling:ย Translate complex analyses into clear narratives and visuals for non-technical audiences, present findings at internal meetings, town halls, and stakeholder sessions, and respond to occasional technical customer inquiries about water use, bills, and rates.ย 
  • Research, Reporting & Documentation:ย Apply best practices in water conservation and data-driven rate structures, andย maintainย SOPs, reports, records, and documentation so analyses and processesย remainย reproducible and transferable across the team.ย 

Qualifications and Competencies:ย 

  • Education & Experience:ย ย 
    • Bachelor's degree from an accredited college or university with significant course work in environmental science, conservation, biological science,ย hydrology,ย data analysis, or related fields, ANDย 
    • Minimum two years of professional experience in a data analysis-heavy field, ORย any combination of experience and training that would provide the required knowledge and abilities.ย 
  • Problem Solving: Use critical thinking to address data discrepancies, quality-check datasets, and support solution development through comprehensive analysis.ย 
  • Teamwork: Ability to work across all departments and manage workloads.ย 
  • Projectย managementย skillsย 

Required Technical Skills:ย 

  • Data Modeling: Advanced skills in querying, data extraction, transformation, aggregation, and optimizationย 
  • Programming and Analysis: Experience with R and R Studio/VS Code for data manipulation, statistical analysis, and modelingย 
  • Statistical Software and Libraries:ย Proficiencyย in statistical software and libraries (e.g., pandas in Python,ย dplyrย in R) for advanced data manipulation and analysis.ย 
  • Git: Ability to incorporate Git version control into workflows for reproducible code, CI/CD DevOps, and collaboration amongst data colleagues.ย 
  • Excel: Strong foundational Excel skills for supplemental analysis (Pivot Tables, Conditional Formatting, Index Match, Data Validation).ย 

Nice to Have Skills:ย 

  • SQL Server (Data Warehousing, ETL)ย 
  • APIs and Data Integration: Ability to use APIs to integrate data from external sources.ย Power Platformย 
  • Experience usingย Virtual Machine (VM) Environmentsย 
  • Pythonย 
  • Dockerย 
  • Data Security and Compliance: Understanding of data governance, privacy, and security best practices, including compliance with CISA (Cybersecurity and Infrastructure Security Agency) standards.ย 

The Scheduleย ย 

This position is expected to work a hybrid schedule, working on-site 2-3 days per week at our office in Vail, Colorado.ย 

Pay Rangeย 

Theย salaryย range for this role is $85,259.20 โ€“ $119,329.60. Hiring wage will depend on qualifications and experience.ย 

We are committed to recognizing andretaininghigh-performing employees and offer performance-based annual merit increases, cost-of-living adjustments, and annual market evaluations.ย 
Benefitsย 

At ERWSD, we value life-work balance and are leaders in the industry with our holistic benefits package, which includes but is not limited to:ย 

  • Comprehensive medical, dental, and vision coverageย 
  • Employee housing or $559 monthly housing stipendย ย 
  • Wellness programย 
  • Retirement savings plans (414h and 457) โ€“ We are a social security exempt organizationย 
  • 13.5 Paid Holidaysย 
  • Paid Time Off (PTO)ย 
  • Paid Parental Leaveย 
  • $800 Annual Recreation Benefitย 
  • Tuition Reimbursementย 
  • Loan programs for: Ski Passes, Electric Vehicles, and Computersย 
  • Relocation Assistance (if applicable)ย 

All District employees mustย possessย a valid Colorado Driver License and submit to a pre-employment drug screen, extensive background check including an educational verification, and reference check. For a full position description including work environment and physical demands, emailerwsdjobs@erwsd.org.ย ย 
All applicants must apply online atwww.erwsd.orgbyAugust 5, 2026.ย 

We are an Equal Opportunity Employerย 

We do not discriminate based on race, color, religion, national origin, sex, age, disability, sexual orientation, marital status, geneticย informationย or any other status protected by law or regulation. It is our intention that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors.