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Freelance Python Data Analysis Jobs in Columbia, SC

Artefact

Sr Data Analyst

North, SC · On-site

$79K - $100K/yr

... of data analysis and business strategies. We are seeking a candidate who not only possesses ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Artefact

Jr Data Analyst - (Canada-based)

North, SC

... of data analysis and business strategies. We are seeking a candidate who not only possesses ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

State of South Carolina

Data Scientist

Columbia, SC · On-site

Advanced proficiency in R and/or Python for data analysis and modeling. Experience with SQL and relational databases. Experience visualizing/presenting data for stakeholders using: Power BI, DAX ...

Artefact

Data Consultant - Senior

North, SC · On-site

Performing advanced data analysis and rigorous research to solve high-impact, strategic challenges ... Advanced proficiency in Excel and PowerPoint; experience with SQL, Python, or R is a strong ...

Ourhrconnect

Data Scientist

Columbia, SC · On-site

Integrate and analyze large, varied datasets and communicate results of large scale analytics ... Proficiency using Python. * Proficiency using Data Bricks. * Strong written, verbal, presentation ...

Pwc

GenAI Python Systems Engineer-Manager

Columbia, SC

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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

As of Jun 28, 2026, the average hourly pay for freelance python data analysis in Columbia, SC is $54.23, according to ZipRecruiter salary data. Most workers in this role earn between $44.71 and $61.59 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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Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Columbia, SC as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $112,804 per year, or $54.2 per hour.

Data Analyst

SPECTRAFORCE TECHNOLOGIES Inc.

Columbia, SC • On-site

Other

Posted 18 days ago

Job description

Title: Data Analyst III
Location; Columbia, SC (Onsite 3x per week)
Duration: 12 months
Duties:

  • Day to day:
    • There is a development and recurring or operational focus for the analyst.
    • The development work is consultative, customer-facing, and requires understanding I/S business processes.
    • Work involves facilitating meetings, gathering and documenting requirements, interacting with management and multiple teams to complete work, designing and developing a solution, and presenting outcomes to customers.
    • This work requires a technical focus as well as a business perspective and consultative mindset.
    • The recurring or operational work is recurring, repeatable tasks and includes one-time ad-hoc requests.
    • Recurring reports and data entry are well defined and are as automated as possible.
    • Recurring work is reviewed annually at a minimum to ensure it continues to meet business needs.
    • This work requires knowledge of reporting and data tools and communication with customers.
    • The operations focuses on timeliness, accuracy, consistency, and providing the key customer insights and analysis to help with business needs and decisions
  • Creates and analyzes reports to support operations.
  • Ensures correctness of analysis, and reports findings in a concise manner to senior management.
  • Directly responsible for accuracy of data as financial and operational decisions are made based on the data provided.
  • 30% Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes.
  • Revises existing reports and develops new reports based on changing methodologies.
  • 30% Analyzes reports to ensure accuracy and quality. Tracks and verifies all reporting statistics.
  • 20% Communicates and trains employees and managers on the complex database programs used to generate analytical data.
  • 20% Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions.

Required Technologies:

  • Strong SQL knowledge
  • PowerBI
  • Microsoft Excel

Preferred Technologies:

  • Tableau
  • Power Automate
  • Python
  • GitHub
  • MS Access

Required Education:

  • Bachelor''s degree in Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. Degree Equivalency: 2 year degree in Computer Science, Business or related field and 2 years of reporting and data analysis work experience. OR 4 years reporting and data analysis experience.

Required Work Experience:

  • 4 Years Research and analysis experience.

Preferred Work Experience:

  • 6 Years-Research and analysis experience.

Required Skills and Abilities:

  • Strong organizational, customer service, communications, and analytical skills.
  • Advanced experience using complex mathematical calculations and understand mathematical and statistical concepts.
  • Knowledge of relevant computer support systems.
  • Ability to train subordinate staff including provide assistance/guidance to staff in design/execution of reporting needs.
  • Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development.
  • Strong understanding of relational database structures, theories, principles, and practices.

Required Software and Other Tools:

  • Advanced knowledge of Microsoft Office.
  • Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases.
  • Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes.

Preferred Skills and Abilities:

  • Computer programming skills
  • Negotiation or persuasion skills.
  • Knowledge of ICD9/CPT4 coding.
  • Knowledge of the healthcare delivery system.

Preferred Software and Other Tools:

  • SAS experience.

Work environment:

  • Typical office environment.
  • Some travel between buildings and out of town.

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