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Freelance Python Data Analysis Jobs (NOW HIRING)

... 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 ...

... 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 ...

Write production-grade Python for data processing and integration between on-prem and cloud systems ... Track record owning delivery end to end, from data analysis and architecture through production ...

The ideal candidate combines strong data analysis skills, SQL and Python capability, executive storytelling, project management discipline, and hands-on experience or strong working knowledge of ...

Data Extraction, Wrangling and Analysis in Python * Strong SQL querying skills * Attention to detail Preferred: * Strong Python data management programming skills * Data Visualization experience with ...

... Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform exploratory data analysis to identify patterns trends and opportunities for ...

Data Analyst

Mason, OH · On-site +1

Proficiency in data analysis tools such as Python, R, SQL, and Excel * Knowledge of statistical ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

GCP Python Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of ...

The ideal candidate combines strong data analysis skills, SQL and Python capability, executive storytelling, project management discipline, and hands-on experience or strong working knowledge of ...

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

As of Jul 9, 2026, the average hourly pay for freelance python data analysis in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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.
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Python Data Engineer

Vitol

Houston, TX • On-site

Full-time

Re-posted 6 days ago


Job description

Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs.
What you will do:
  • Write modular, reusable components to liaise between external sources of data, internal tools and databases
  • Work with our business sponsors to drive out requirements for data ingestion and access
  • Translate business requirements into technical deliveries
  • Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
  • Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
  • Efficiently coordinate with the rest of our global team
  • Participate in Vitol's Python development community and act as a liaison for our growing business development efforts

Qualifications
  • 7+ years of enterprise-level coding experience with Python
  • Computer Science, MIS or related degree
  • Experience with Data Engineering and building data pipelines
  • Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
  • Oracle / PL SQL development experience including stored procedures
  • Strong understating of object-oriented design, design patterns, SOA architectures
  • Past experience working in an Agile/Scrum environment
  • Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools.
  • Familiarity with Pandas and NumPy packages
  • Strong communication skills (written and verbal)
  • Commodities/Energy Industry experience desired
  • Familiarity with containerization solutions like Docker and Kubernetes is a plus

This Role is located in Houston, TX - In office 5x a week
Additional Information
Work Environment
  • This job operates in a professional office environment. Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office.

All your information will be kept confidential according to EEO guidelines.