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Part Time Python Data Analysis Jobs in Colorado (NOW HIRING)

CO · On-site

$49K/yr

... analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID ...

Air Quality Analyst

Boulder, CO · On-site

$28/hr

  • Medical

  • Dental

  • Retirement

  • PTO

In support of this project, the group seeks a part-time analyst to compile and analyze various sources of outdoor temporal air quality data as well as to create a report on the pilot test of remote ...

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... analytics * 2+ years of experience using data science programming languages such as Python or R ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Air Quality Analyst

Boulder, CO · On-site

$28/hr

  • Medical

  • Dental

  • Retirement

  • PTO

In support of this project, the group seeks a part-time analyst to compile and analyze various sources of outdoor temporal air quality data as well as to create a report on the pilot test of remote ...

Sr. Wi-Fi Engineer (Denver, CO)

Denver, CO · On-site

$40 - $60/hr

  • Medical

  • Dental

  • Vision

  • PTO

Experience with scripting languages (e.g., Python, Perl) for automation and data analysis ... part-time and temporary staff, for health and safety needs (Cedent provides all legally required ...

Computer Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Your deep analytics, data science, AI, and machine learning expertise and consulting mindset ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Your deep analytics, data science, AI, and machine learning expertise and consulting mindset ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$74K/yr

Working with timekeeping, data analysis, and travel support. * Evaluating the progress and status ... Such study may have been performed on a full-time or part-time basis. If you cannot obtain your ...

Showing results 21-40

Part Time Python Data Analysis information

What is a part-time Python data analyst?

A part-time Python data analyst is a professional who uses Python programming to analyze, interpret, and visualize data, but works fewer hours than a full-time employee. They help organizations make data-driven decisions by cleaning data, running statistical analyses, and creating reports or dashboards, typically on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or looking to supplement their income while utilizing their data analysis skills.

How do part-time Python data analysts typically collaborate with full-time team members to ensure project continuity?

Part-time Python data analysts frequently work alongside full-time data teams by attending regular meetings, using shared project management tools, and maintaining thorough documentation of their work. This collaboration ensures that progress is transparent and that handoffs between analysts are smooth, minimizing disruptions. Communication platforms like Slack or Microsoft Teams are often utilized to keep everyone aligned, and version control systems such as Git help track changes in code and data analyses. Being proactive about updates and asking clarifying questions also helps part-time analysts integrate effectively with the team.

What are the key skills and qualifications needed to thrive as a part-time Python data analyst, and why are they important?

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python, and a solid understanding of statistics or data science fundamentals, often supported by relevant coursework or a degree. Familiarity with tools like pandas, NumPy, Jupyter notebooks, and basic SQL, as well as experience with data visualization libraries such as matplotlib or seaborn, is typically required. Attention to detail, problem-solving ability, and effective communication help you convey insights and collaborate with team members. These skills are crucial for extracting meaningful information from data and supporting informed decision-making in a flexible, part-time capacity.

What is the difference between Part Time Python Data Analysis vs Part Time Data Scientist?

AspectPart Time Python Data AnalysisPart Time Data Scientist
Required CredentialsBasic Python, SQL, Excel skillsAdvanced Python, machine learning, statistics
Work EnvironmentData analysis projects, reportingModel development, predictive analytics
Industry UsageBusiness reporting, market researchProduct development, AI applications

Part Time Python Data Analysis typically involves handling data, creating reports, and basic analysis using Python and related tools. In contrast, Part Time Data Scientists work on developing models, applying machine learning, and performing advanced statistical analysis. While both roles require Python skills, Data Scientists usually have more specialized knowledge and work on more complex projects. The choice depends on your skill level and career goals within data roles.

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 Part Time Python Data Analysis jobs in Colorado?

For Part Time Python Data Analysis jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Part Time Python Data Analysis jobs in Colorado look for?

The top searched job categories for Part Time Python Data Analysis jobs in Colorado are:

Infographic showing various Part Time Python Data Analysis job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

$49K/yr

Full-time, Part-time

Re-posted 13 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER