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Freelance Python Data Analyst Jobs in Boulder, CO

Prim

SCADA Data & Reporting Analyst

Denver, CO · Remote

Develop automated Python and SQL scripts to collect, clean, organize, and prepare operational data from SCADA systems, historians, HMIs, databases, and APIs for reporting, dashboards, and analytics.

Modivcare

Data Insights Analyst II

Denver, CO · On-site

... Python, R, or SAS. • Familiarity with ETL processes and cloud-based data platforms (e.g ... and AI-driven analytics. Company : ModivCare is a healthcare services company that provides ...

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Strong knowledge of Excel and statistical analysis tools such as Python, R, or SAS. * Familiarity with ETL processes and cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, Azure). * Soft ...

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Strong knowledge of Excel and statistical analysis tools such as Python, R, or SAS. * Familiarity with ETL processes and cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, Azure). * Soft ...

Block, Inc

Staff Data Analyst, Block Compliance

Denver, CO · On-site

$171K - $257K/yr

The Role The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data ... Experience with automation using Python, R or Prefect Block takes a market-based approach to pay ...

PNC Bank

Data Manager

Arvada, CO

Data Governance, SQL, Metadata, Regulatory Data, Python, Data Quality, Lineage, Data Compliance PNC ... Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data ...

Office of Personnel Management

Data Scientist

Lakewood, CO · On-site +1

$90K - $118K/yr

Using SQL and programming languages (e.g., Python, R) to collect and transform data for analytical purposes; AND * Applying AI tools (e.g., generative AI, large language models, agentic AI) to ...

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Freelance Python Data Analyst information

See Boulder, CO salary details

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

As of Aug 9, 2026, the average hourly pay for freelance python data analyst in Boulder, CO is $34.15, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $38.12 per hour, depending on experience, location, and employer.

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

What skills and qualifications are 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 supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

What does a freelance Python data analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

How does a freelance Python data analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
What are the most commonly searched types of Python Data Analyst jobs in Boulder, CO? The most popular types of Python Data Analyst jobs in Boulder, CO are:
What are popular job titles related to Freelance Python Data Analyst jobs in Boulder, CO? For Freelance Python Data Analyst jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Boulder, CO look for? The top searched job categories for Freelance Python Data Analyst jobs in Boulder, CO are:
What cities near Boulder, CO are hiring for Freelance Python Data Analyst jobs? Cities near Boulder, CO with the most Freelance Python Data Analyst job openings:
Freelance Python Data Analyst jobs near you
Infographic showing various Freelance Python Data Analyst job openings in Boulder, CO as of June 2026, with employment types broken down into 3% Full Time, 93% Part Time, 1% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $71,028 per year, or $34.1 per hour.

Drilling & Completions Data Analyst II

The Bergaila Companies

Denver, CO • On-site

Contractor

Re-posted 11 days ago

Job description

Exciting Opportunity for Experienced Drilling & Completions Data Analyst II in Denver, CO
Join a dynamic team supporting innovative upstream oil & gas operations in the heart of Denver! We're seeking a skilled Drilling & Completions Data Analyst II to play a pivotal role in transforming complex data into actionable insights. This is your chance to work at the forefront of the energy industry, leveraging your analytical expertise to drive operational efficiency, optimize well delivery, and support strategic decision-making.
In this critical role, you will partner closely with Drilling & Completions, Operations, and Engineering teams to develop robust dashboards, automate processes, and deliver high-quality data solutions that directly impact business outcomes. If you thrive in a fast-paced, data-driven environment and have a passion for oil & gas operations, we want to hear from you!
Required Skills:
  • 3+ years of professional experience as a Data or Business Intelligence Analyst
  • 2+ years of hands-on experience with complex SQL development, including CTEs, subqueries, joins, window functions, and data modeling
  • 2+ years of experience building and managing Power BI and/or Spotfire dashboards
  • Strong understanding of relational databases and data visualization best practices
  • Proficiency in Excel for data analysis
  • Ability to work independently and communicate complex findings effectively

Nice to Have Skills:
  • Knowledge of upstream oil & gas metrics and operations
  • Experience with OpenWells, Landmark, or PPDM-based systems
  • Programming skills in Python or R for advanced analytics
  • Familiarity with Microsoft Power Platform (Power Automate, Power Apps)
  • Experience with cloud platforms such as Azure or AWS
  • Knowledge of data version control (Git, Azure DevOps)

Preferred Education and Experience:
  • Bachelor's Degree in Engineering, Computer Science, Data Science, Finance, or a related field
  • 3+ years supporting operations or engineering teams in a data-centric environment

Other Requirements:
  • Ability to work a hybrid schedule in downtown Denver, CO (Tuesday-Thursday in-office, remainder remote)
  • Experience with drill and completions data, operational KPIs, and asset hierarchies is highly desirable
  • Must have or be willing to obtain relevant certifications as appropriate

Ready to make a measurable impact on upstream operations through your data expertise? Apply now and become an integral part of a forward-thinking team driving innovation in oil & gas!

Apply