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Freelance Python Data Analysis Jobs in Akron, OH

Data Engineer (Remote)

Cleveland, OH ยท Remote

$111K - $133K/yr

... analytical needs evolve * Ensure data reliability, consistency, and availability for downstream consumers * Support and extend API integration workflows built with Boomi and Python * Maintain and ...

Senior Data Analyst

Brooklyn, OH ยท On-site

$80K - $101K/yr

Analyze large and small datasets to identify trends, gaps, and opportunities for improvement ... Training or certification in SQL, Python, or cloud platforms (preferred) * Familiarity with data ...

Data Engineer

Cleveland, OH ยท On-site

$110K - $133K/yr

The ideal candidate will work closely with data analysts, data scientists, and software engineers ... Python, Java, or Scala programming experience. * Experience with ETL/ELT tools. * Knowledge of data ...

New

Work with category managers and our Data & Analytics team to develop competitive pricing strategies ... Experience in SQL or other programming language for statistical calculations (eg R, Python) is a ...

AI Engineer

Cleveland, OH ยท On-site

$50K - $112K/yr

... Python and TensorFlow - Integrating data from various sources to create unified views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data ...

Python Django Developer I

Cleveland, OH ยท On-site

$48.75 - $67.25/hr

Implement security and data protection solutions. * Collaborate seamlessly with the bioinformatics ... Exceptional analytical and troubleshooting skills. (Required proficiency) * Proficiency in ...

Showing results 21-40

Freelance Python Data Analysis information

See Akron, OH salary details

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

As of Aug 6, 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 freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

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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Data Engineer (Remote)

Greenfield Talent

Cleveland, OH โ€ข Remote

$111K - $133K/yr

Full-time

Re-posted 13 days ago


Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do
  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring
  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have
  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams