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Freelance Python Data Analysis Jobs in Columbus, OH

... Python, Data Robot, and SAS. • Experience using BI Tools; preferably Tableau • Experience using SQL; preferably Postgres SQL and T-SQL • 3 years leading agile project delivery for analytical ...

Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to ... Expert proficiency in a scripting language such as Python, including Python data libraries (numpy ...

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics ...

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

As of Jul 29, 2026, the average hourly pay for freelance python data analysis in Columbus, OH is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 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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Data Scientist.

Kanak Elite Services Inc

Columbus, OH • On-site

Contractor

Posted yesterday


Job description

Role: DATA SCIENTIST

Location: Columbus, OH (Onsite)

  • Data Science – 7+ yrs
  • SAS – 5+
  • Python -5+
  • SQL
  • Jupyter, Data Robot preferred
  • AI tools preferred
  • BS w/financial svcs or auto industry exp. required


Required:
• Bachelor’s degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent experience.
• 5+ years of professional experience as a data scientist or similar in a corporate environment.
• Experience using AI Tools; preferably Jupyter with Python, Data Robot, and SAS.
• Experience using BI Tools; preferably Tableau
• Experience using SQL; preferably Postgres SQL and T-SQL
• 3 years leading agile project delivery for analytical topics
• 3 years in the Financial Services or Automotive Industry (Preferred)
Comments/Special Instructions
SAS CWF Skill Set
Python - Expert
• SAS - Intermediate
• Snowflake - Basic
• SQL Server – Basic
• IDMC / Power Center – Basic
• R - Optional

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email : Anjali08@kanakits.com