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Data Analysis Internship Jobs in Colorado (NOW HIRING)

Serve as a subject-matter resource on water-use data and analysis for other teams and leadership and help onboard and mentor interns and analysts on tools, methods, and best practices.

Digital Analyst Internships

Thornton, CO

$99K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Thornton, CO ยท On-site

$99K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

$97K - $114K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Aurora, CO

$100K - $118K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

$100K - $119K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Denver, CO ยท On-site

$101K - $119K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

$94K - $111K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Colorado Springs, CO ยท On-site

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Greeley, CO

$94K - $111K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Fort Collins, CO ยท On-site

$98K - $116K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

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Data Analysis Internship information

See Colorado salary details

$12

$23

$44

How much do data analysis internship jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analysis internship in Colorado is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.77 per hour, depending on experience, location, and employer.

What is a data analysis internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

What is the difference between Data Analysis Internship vs Data Analyst?

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

What are the key skills and qualifications needed to thrive as a data analysis intern?

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a data analysis internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.
What are the most commonly searched types of Data Analysis jobs in Colorado? The most popular types of Data Analysis jobs in Colorado are:
What are popular job titles related to Data Analysis Internship jobs in Colorado? For Data Analysis Internship jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Data Analysis Internship jobs? Cities in Colorado with the most Data Analysis Internship job openings:
Infographic showing various Data Analysis Internship job openings in Colorado as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $49,221 per year, or $23.7 per hour.

Water Conservation Data Analyst

EAGLE RIVER WATER & SANITATION DISTRICT

Vail, CO โ€ข On-site

$85K - $119K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


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.
We're seeking 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.
Why work for us? 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.
Day to Day Responsibilities:
  • Data Analysis & Evaluation: Use data to support business decisions about water conservation and other internal initiatives and 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.
  • Statistical Modeling & Forecasting: 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.
  • Data Engineering & Tooling: Develop and maintain 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.
  • Data Management & Visualization: Develop and manage interactive dashboards, charts, and reports in Power BI and Shiny to communicate key findings internally and for the public.
  • Cross-Functional Collaboration & Support: 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 and leadership and help onboard and mentor interns and analysts on tools, methods, and best practices.
  • Communication & Storytelling: 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.
  • 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 remain reproducible and transferable across the team.

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

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

Nice to Have Skills:
  • SQL Server (Data Warehousing, ETL)
  • APIs and Data Integration: Ability to use APIs to integrate data from external sources. Power Platform
  • Experience using Virtual Machine (VM) Environments
  • Python
  • Docker
  • Data Security and Compliance: Understanding of data governance, privacy, and security best practices, including compliance with CISA (Cybersecurity and Infrastructure Security Agency) standards.

The Schedule
This position is expected to work a hybrid schedule, working on-site 2-3 days per week at our office in Vail, Colorado.
Pay Range
The salary range for this role is $85,259.20 - $119,329.60. Hiring wage will depend on qualifications and experience.
We are committed to recognizing and retaining high-performing employees and offer performance-based annual merit increases, cost-of-living adjustments, and annual market evaluations.
Benefits
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:
  • Comprehensive medical, dental, and vision coverage
  • Employee housing or $559 monthly housing stipend
  • Wellness program
  • Retirement savings plans (414h and 457) - We are a social security exempt organization
  • 13.5 Paid Holidays
  • Paid Time Off (PTO)
  • Paid Parental Leave
  • $800 Annual Recreation Benefit
  • Tuition Reimbursement
  • Loan programs for: Ski Passes, Electric Vehicles, and Computers
  • Relocation Assistance (if applicable)

All District employees must possess 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, email erwsdjobs@erwsd.org.
All applicants must apply online at www.erwsd.org by August 5, 2026.
We are an Equal Opportunity Employer
We do not discriminate based on race, color, religion, national origin, sex, age, disability, sexual orientation, marital status, genetic information 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.