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Entry Level Python Data Analysis Jobs in Colorado Springs, CO

Sanborn Map Company

GIS Analyst

Colorado Springs, CO

Performing geospatial analysis, data collection (georeferencing and digitizing), data automation, Q ... Python, R * Proficiency with CADD tools such as AutoDesk and MicroStation * GISP Certified Salary ...

Sanborn Map

GIS Analyst

Colorado Springs, CO

Performing geospatial analysis, data collection (georeferencing and digitizing), data automation, Q ... Python, R * Proficiency with CADD tools such as AutoDesk and MicroStation * GISP Certified Salary ...

Booz Allen Hamilton

Data Engineer

Colorado Springs, CO · On-site

$61K - $141K/yr

... and analysis environment. You will design, build, and deploy the scalable data pipelines that ... Experience in object-oriented programming such as Python, Java, or C++ and advanced SQL

Booz Allen Hamilton

Data Engineer

Colorado Springs, CO · On-site

$61K - $141K/yr

... and analysis environment. You will design, build, and deploy the scalable data pipelines that ... Experience in object-oriented programming such as Python, Java, or C++ and advancedSQL * Experience ...

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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 Aug 25, 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:

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For Entry Level Python Data Analysis jobs in Colorado Springs, CO, the most frequently searched job titles are:

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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:

Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Colorado Springs, CO as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $67,494 per year, or $32.4 per hour.

Data Scientist - Signal Analysis

Assertive Professionals

Colorado Springs, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Assertive Professionals is seeking a Data Scientist supporting our National Security customer in Colorado Springs, CO.
This is a proposed position, we are offering a salary of $160,000 with a $2,000 sign-on bonus, or reimbursable relocation.
This is a great opportunity to work for an employee-centric, fast-growing small business. We offer an excellent benefits package, including PTO (accrual rates vary by contract and customer requirements), 401(k) Match at 5%, Profit Sharing, Company-paid Life Insurance, Dental, Vision, STD/LTD, and two options under a national medical plan with employee contribution.There is an additional $1,200 annual corporate bonus for time and attendance compliance!
Responsibilities Include:
This position is responsible for conducting data science functions on structured and unstructured data to streamline intelligence analysis and production. The data scientist will work to enrich analytical results and will develop and maintain Python code in support of mission requirements.
Required Experience and Qualifications:
  • TS/SCI w/ CI Poly
  • 7 years of relevent experience
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or JupyterLabs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, querytechniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

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