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Freelance Python Data Analysis Jobs in Akron, OH

Sarian, Inc.

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks. * Testing: Implementing test-driven development and ...

FirstEnergy Corp.

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Understanding of statistical analysis to ensure metrics are accurate and meaningful. * Proficiency ...

FirstEnergy

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Understanding of statistical analysis to ensure metrics are accurate and meaningful. * Proficiency ...

Cleveland Clinic

Research Data Scientist I

Cleveland, OH · On-site

$106K/yr

Utilize programming skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB, or similar tools. * Perform basic data analysis including data validation, investigation, and hypothesis testing ...

New

FirstEnergy

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Understanding of statistical analysis to ensure metrics are accurate and meaningful. * Proficiency ...

FirstEnergy Corp.

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Understanding of statistical analysis to ensure metrics are accurate and meaningful. * Proficiency ...

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

As of Aug 28, 2026, the average hourly pay for freelance python data analysis in Akron, OH is $56.08, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.70 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?

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.

What are the most commonly searched types of Python Data Analysis jobs in Akron, OH?

The most popular types of Python Data Analysis jobs in Akron, OH are:

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For Freelance Python Data Analysis jobs in Akron, OH, the most frequently searched job titles are:

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Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Akron, OH as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $116,652 per year, or $56.1 per hour.

Python Developer

Sarian, Inc.

Strongsville, OH • On-site

$46.25 - $64/hr

Full-time

Re-posted 19 days ago

Job description

Must Have Technical/Functional Skills:
  • Python Programming: Proficiency in Python language and its ecosystem.
  • Frameworks: Knowledge of Python web frameworks (Django, Flask, etc.).
  • Databases: Experience with relational databases (SQL) and/or NoSQL databases.
  • APIs: Familiarity with REST APIs and other API protocols.
  • Version Control: Proficiency with Git and other version control systems.
  • Testing: Knowledge of unit testing, integration testing, and automated testing frameworks.
  • Debugging: Strong debugging skills and ability to troubleshoot issues.
  • Problem-solving: Ability to analyze problems, identify solutions, and implement them effectively.

Roles & Responsibilities:
  • Code Development: Writing, testing, and debugging Python code for various applications.
  • Back-end Development: Developing server-side logic, back-end components, and APIs.
  • Integration: Integrating applications with other services and systems.
  • Frameworks: Utilizing Python frameworks like Django and Flask for web application development.
  • Collaboration: Working with front-end developers, software architects, and other teams to deliver cohesive solutions.
  • Optimization: Optimizing code for performance, scalability, and security.
  • Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks.
  • Testing: Implementing test-driven development and automated testing.
  • Debugging: Troubleshooting and debugging application issues.
  • Security: Implementing security measures to protect data and applications.

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