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Freelance Python Data Analysis Jobs in Colorado Springs, CO

Familiarity with Python for data analysis and automation Professional Experience * Experience documenting technical workflows, data processes, or analytics systems * Ability to identify and resolve ...

Data Analyst

Colorado Springs, CO · On-site

$40 - $45/hr

Familiarity with Python for data analysis and automation Professional Experience * Experience documenting technical workflows, data processes, or analytics systems * Ability to identify and resolve ...

Proficiency in data analysis tools such as Python, R, SQL, or Excel. * Experience with maintenance management systems (CMMS, EAM, REMIS, or similar). * Ability to translate data findings into ...

Proficiency in data analysis tools such as Python, R, SQL, or Excel. * Experience with maintenance management systems (CMMS, EAM, REMIS, or similar). * Ability to translate data findings into ...

Proficiency in data analysis tools such as Python, R, SQL, or Excel. * Experience with maintenance management systems (CMMS, EAM, REMIS, or similar). * Ability to translate data findings into ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Bachelors Degree Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments. Additional Experience: * Expert Python skills; heavy use ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Bachelors Degree Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments. Additional Experience: * Expert Python skills; heavy use ...

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Freelance Python Data Analysis information

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How much do freelance python data analysis jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for freelance python data analysis in Colorado Springs, CO is $57.77, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.62 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

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

What job categories do people searching Freelance Python Data Analysis jobs in Colorado Springs, CO look for?

The top searched job categories for Freelance Python Data Analysis jobs in Colorado Springs, CO are:

What cities near Colorado Springs, CO are hiring for Freelance Python Data Analysis jobs?

Cities near Colorado Springs, CO with the most Freelance Python Data Analysis job openings:

Infographic showing various Freelance Python Data Analysis job openings in Colorado Springs, CO as of June 2026, with employment types broken down into 1% Internship, 4% As Needed, 52% Full Time, 35% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $120,163 per year, or $57.8 per hour.

Data Scientist - Signal Analysis

Assertive Professionals

Colorado Springs, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 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.