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Contract Python Data Analysis Jobs in Colorado Springs, CO

Familiarity with Python for data analysis and automation Professional Experience * Experience ... Job Type & Location This is a Contract to Hire position based out of Colorado Springs, CO. Pay and ...

Data Analyst

Colorado Springs, CO · On-site

$40 - $45/hr

Familiarity with Python for data analysis and automation Professional Experience * Experience ... Job Type & Location This is a Contract to Hire position based out of Colorado Springs, CO. Pay and ...

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 ...

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 ...

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Contract Python Data Analysis information

See Colorado Springs, CO salary details

$13

$57

$85

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

As of Sep 6, 2026, the average hourly pay for contract 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 a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

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

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

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 Contract Python Data Analysis jobs in Colorado Springs, CO?

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

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

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

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

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

Infographic showing various Contract Python Data Analysis job openings in Colorado Springs, CO 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 $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 21 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.