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Freelance Python Data Analyst Jobs (NOW HIRING)

bet365

Python Data Analyst (Fraud and Risk)

Denver, CO · On-site

As a Data Analyst, you'll work closely with our Fraud and Risk team to analyze complex datasets ... Proficient in the application and use of Python is a prerequisite of this role. * Experience in ...

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Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Vitol

Python Data Engineer

Houston, TX

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

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

As of Aug 28, 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 August 2026, with employment types broken down into 100% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst / Product Analyst - Capital Markets

Long Finch Technologies

Huntersville, NC • On-site

Full-time

Posted 9 days ago

Job description

We are seeking an experienced Data Analyst / Product Analyst with 10+ years of experience in Capital Markets, financial services, or banking environments. The ideal candidate will have strong hands-on expertise in SQL, Python, data analysis, and business data analysis, combined with experience supporting complex, multi-business and multi-system initiatives.

Responsibilities:

  • Perform business and data analysis using SQL and Python to identify trends, patterns, data issues, and actionable insights.
  • Analyze complex Capital Markets data and business processes across multiple businesses and systems.
  • Gather, manage, and document business/functional requirements, including user stories, use cases, acceptance criteria, and test scripts.
  • Develop customer journey maps and analyze business processes to identify gaps and opportunities for improvement.
  • Support design and solution-related activities for complex, multi-business, multi-system initiatives.
  • Work closely with Product Owners, business stakeholders, developers, QA, and technology teams within an Agile/Scrum environment.
  • Support product lifecycle development, including requirements, design, testing, implementation, and post-production activities.
  • Use Jira to manage requirements, user stories, backlog items, defects, and project deliverables.

Qualifications Required:

  • 10+ years of experience in Data Analysis, Business Analysis, Product Analysis, or a related field.
  • Strong hands-on experience with SQL and Python.
  • Strong Capital Markets domain experience; Banking/Financial Services experience is preferred.
  • Excellent analytical, problem-solving, and business data analysis skills.
  • Experience with requirements management, user stories, use cases, test scripts, and customer journey mapping.
  • Strong experience working in Agile/Scrum environments and using Jira.
  • Experience supporting complex, multi-business and multi-system initiatives with strong stakeholder communication skills.

Preferred Qualifications:

  • Experience in Banking or Financial Services.

Apply