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Freelance Python Data Analyst Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

Social Factor

Freelance Data Analyst

Austin, TX · On-site

Social Factor is looking to find US-based, qualified, available freelance Data Analysts to jump in on projects or new business opportunities that are currently in the pipeline. The role will be ...

Social Factor

Freelance Data Analyst

Austin, TX · On-site

Social Factor is looking to find US-based, qualified, available freelance Data Analysts to jump in on projects or new business opportunities that are currently in the pipeline. The role will be ...

Solomon Page

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Develop Python-based analytical solutions for data processing and automation. * Evaluate data ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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

As of Sep 13, 2026, the average hourly pay for freelance python data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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.

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.

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 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.

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Freelance Python Data Analyst jobs near you
Infographic showing various Freelance Python Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Python Data Analyst

Wilmington, DE • On-site

Syntricate Technologies
IT Services • 51 - 200 employees
Learn more about Syntricate Technologiesexternal

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Analyst to assist in a major legacy platform migration to S3 AWS. The successful candidate will work with data extraction using Python and perform data analysis and validation tasks.
Responsibilities:
• working with data extraction using Python, and S3, performing data analysis and data validation.
• working a techno/functional role.
Qualifications:
Required:
• 6+ years of experience
• Data Analysts with at least 5 years of experience total, working a techno/functional role
• Working with data extraction using Python
• Performing data analysis and data validation
• At least 2 years working with Python and Cloud
• Jira and Excel for Data Analysis
• Knowledge of Data Mapping and Models
• Table Extraction
Preferred:
• AWS S3 strongly preferred
• Spark experience, other data extraction tools
• Knowledge of Risk and Fraud data models
• Technical knowledge on Python, Spark, AWS (hands on experience)
• Statistics, Data engineer, Integration testing, Database Knowledge, Data Analysis
• Understanding of Model and its Lifecycle
• Expectation for model validation
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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