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Freelance Python Data Analysis Jobs in Colorado (NOW HIRING)

Need Experience range in between 2-7 Years Key Skill Requirements: 1. Strong knowledge of Python and/or R for data analysis, with hands-on experience using libraries such as Pandas, NumPy, Scikit ...

Data Analyst

Englewood, CO · On-site

$63K - $90K/yr

Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google Suite * Solve problems and meet goals with advanced statistical techniques and innovative approaches

Junior Data Analyst

Colorado Springs, CO · On-site

$100K - $130K/yr

Develop/improve software packages and provide analysis of missile defense-related system ... Working knowledge of Software development in Python/VBA or MATLAB. * Familiarity of DoD software ...

Data Analyst

Englewood, CO · On-site

$63K - $90K/yr

Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google Suite * Solve problems and meet goals with advanced statistical techniques and innovative approaches

Junior Data Analyst

Colorado Springs, CO · On-site

$100K - $130K/yr

Develop/improve software packages and provide analysis of missile defense-related system ... Working knowledge of Software development in Python/VBA or MATLAB. * Familiarity of DoD software ...

System Architect

Littleton, CO · On-site

$140K - $225K/yr

Job Summary Architect and develop the payload data processing and analysis tool suite supporting a ... S. Citizenship required to meet program and customer requirements Proficiency in Python for ...

Understanding of and ability to analyze and interpret air-domain data * Ability to research ... Experience in PYTHON or JupyterNotebook * Experience with GALE, OilStock, MIST * Develop and ...

Understanding of and ability to analyze and interpret air-domain data * Ability to research ... Experience in PYTHON or JupyterNotebook * Experience with GALE, OilStock, MIST * Develop and ...

Understanding of and ability to analyze and interpret air-domain data * Ability to research ... Experience in PYTHON or JupyterNotebook * Experience with GALE, OilStock, MIST * Develop and ...

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Freelance Python Data Analysis information

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, and why are they important?

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? The most popular types of Python Data Analysis jobs in Colorado are:
What are popular job titles related to Freelance Python Data Analysis jobs in Colorado? For Freelance Python Data Analysis jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Freelance Python Data Analysis jobs? Cities in Colorado with the most Freelance Python Data Analysis job openings:
Infographic showing various Freelance Python Data Analysis job openings in Colorado as of June 2026, with employment types broken down into 37% Full Time, 57% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Other

Posted 21 days ago


Job description

Job Description:

Role: Data Scientist (Multiple Openings)

Location: Jersey City, NJ / Atlanta, GA / Tampa, FL / Raleigh, NC / Denver , CO

Job Type: Full Time


Job Description:

We are looking for a Data Scientist responsible for extracting insights from complex datasets and building data-driven solutions that drive business value. This includes everything from exploratory data analysis and statistical modeling to designing and deploying machine learning models in production. Your primary responsibility will be to design, develop, and deploy these models, and to coordinate with the rest of the team working on different layers of the data and analytics infrastructure. Thus, a commitment to collaborative problem solving, sound statistical reasoning, and delivering measurable business impact is essential.

Need Experience range in between 2-7 Years


Key Skill Requirements:

1. Strong knowledge of Python and/or R for data analysis, with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras.

2. Strong understanding of statistics, probability, hypothesis testing, A/B testing, and core ML concepts including regression, classification, clustering, ensemble methods (Random Forest, XGBoost), and neural networks.

3. Hands-on experience with end-to-end ML workflows including data wrangling, feature engineering, model training, hyperparameter tuning, evaluation, and deployment using Cloud Technologies (AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI), MLflow, and Docker.

4. Strong experience with SQL and relational databases (MySQL, PostgreSQL), along with familiarity with big data tools (Spark, Hive) and data visualization libraries/tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to NLP, computer vision, or Generative AI / LLM frameworks is a plus.


Roles & Responsibilities:

1. Work closely with Team Leader, data engineers, product managers, and other team members to translate business requirements into analytical and machine learning solutions.

2. Get involved in the entire life-cycle including data exploration, model development, validation, deployment, and monitoring of models on the assigned delivery lines.

3. Do hands-on coding, build reproducible data pipelines, and perform rigorous model evaluation and testing.

4. Focus on clean, high-quality, well-documented code and follow established best practices in ML engineering and experimentation.

5. Learn new technologies and techniques in the rapidly evolving data science and AI space, implement them, and share learnings with other team members.