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Entry Level Python Data Analysis Jobs in Colorado Springs, CO

Utility UMS Analyst

Colorado Springs, CO · On-site

$61K - $80K/yr

Watch Our Story:' About the Role HDR is seeking an entry-level Utility Data, Asset Management ... Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets ...

Utility UMS Analyst

Colorado Springs, CO · On-site

$61K - $80K/yr

Watch Our Story:' About the Role HDR is seeking an entrylevel Utility Data, Asset Management ... This position contributes to system evaluations, capital planning, regulatory analysis, and ...

Digital Analyst Internships

Colorado Springs, CO · On-site

$95K - $112K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Actuar como referente técnico del equipo, guiando a Data Engineers y Analytics Engineers ... Nivel experto en SQL y Python, con un profundo conocimiento de los principios de ingeniería de ...

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Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for entry level python data analysis in Colorado Springs, CO is $32.45, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.25 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Colorado Springs, CO? The most popular types of Python Data Analysis jobs in Colorado Springs, CO are:
What are popular job titles related to Entry Level Python Data Analysis jobs in Colorado Springs, CO? For Entry Level Python Data Analysis jobs in Colorado Springs, CO, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Colorado Springs, CO look for? The top searched job categories for Entry Level Python Data Analysis jobs in Colorado Springs, CO are:
What cities near Colorado Springs, CO are hiring for Entry Level Python Data Analysis jobs? Cities near Colorado Springs, CO with the most Entry Level Python Data Analysis job openings:
Utility UMS Analyst

Utility UMS Analyst

HDR

Colorado Springs, CO • On-site

$61K - $80K/yr

Full-time

Posted 14 days ago


HDR rating

9.1

Company rating: 9.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

20th of 356 rated engineering


Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
We believe water is more than a resource, it's a shared responsibility. As part of our Water Business Group, you'll help shape how communities manage water for generations to come. From delivering safe drinking water and treating wastewater responsibly to developing sustainable water supplies and protecting lives and property through flood control, your work will directly support public health, environmental sustainability, and infrastructure resilience. We bring together experts across disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will make a meaningful difference in people's lives. This isn't just a job, it's a chance to lead change, drive progress, and leave a lasting legacy.
Watch Our Story:' https://www.hdrinc.com/our-story'
About the Role
HDR is seeking an entry-level Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic modeling analysis, data analytics, GIS, and asset management. This position contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. The successful candidate will demonstrate strong analytical capability, technical rigor, and an interest in advancing data-driven utility planning.
Key Responsibilities:
  • Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records.
  • Utilize data from industry modeling tools from Innovyze, Bentley, Aquanuity and more though ArcGIS Pro.
  • Assist with building and maintaining hydraulic models and data for water distribution and wastewater collection systems using GIS datasets, as-built drawings, and field data.
  • Support hydraulic simulations, system performance evaluations, and scenario analyses for planning studies and operational assessments.
  • Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations.
  • Support database management, data structuring, and creation of modeling-ready datasets to improve study reliability and documentation.
  • Develop data products including reports, visualizations, and dashboards
  • Communicate findings through written reports, visualizations, engineering graphics, and presentations.
  • Assist in preparing asset management and capital improvement plan documents, including risk modeling graphics, lifecycle analysis summaries, and decision-support exhibits.
  • Integrate asset, condition, and geospatial data to support long-term strategic planning for utility infrastructure.
  • Support development of technical reports, planning documents, regulatory analyses, and client presentations.
  • Assist with evaluating impacts of evolving state and federal environmental policies on client utility systems.
  • Contribute to studies involving financial planning, rate evaluation, and long-range system needs assessment.

Preferred Qualifications
  • Bachelor's Degree in Civil or Environmental Engineer or related field or Certificate for Data Science and Visualization
  • Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online.
  • Minimum of 3 years experience in a data science role
  • Foundational knowledge or academic experience in hydraulics, environmental systems, data analytics, GIS, or related disciplines.
  • Familiarity with or academic exposure to hydraulic modeling concepts or tools.
  • Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning.
  • Experience contributing to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning.

#LI-EV1
Qualifications
Required Qualifications
  • A degree in a closely related field or combination of education and relevant experience
  • Self-motivated, detail-oriented professional, ability to multitask a must
  • Proficiency with MS Office including Word and Outlook
  • Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas
  • Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
  • Proficiency with data science languages such as Python and R
  • Ability to handle confidential information
  • Excellent writing and people skills
  • Strong math and organizational skills
  • Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
  • Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
  • An attitude and commitment to being an active participant of our employee-owned culture is a must

What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

What HDR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


HDR logo

About HDR

Sourced by ZipRecruiter

At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Omaha, NE, US

Year founded

1917