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Freelance Python Data Analysis Jobs in Simpsonville, SC

Td

AML Business Data Manager

Greenville, SC · On-site

$96K - $155K/yr

Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data * Visualizes insights ...

Regional Finance

Manager, Data Analytics

Greer, SC · On-site

Manipulate and analyze tradeline-level bureau data to support business use cases * Identify ... Advanced proficiency in SQL and/or Python (ability to independently build complex queries and ...

Varsity Tutors

Data Science Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Purpose Financial

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

You'll work closely with data engineering, analytics, and infrastructure teams to support mission ... Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations * Contribute to CI/CD ...

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

As of Jun 24, 2026, the average hourly pay for freelance python data analysis in Simpsonville, SC is $51.95, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $58.99 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.
What job categories do people searching Freelance Python Data Analysis jobs in Simpsonville, SC look for? The top searched job categories for Freelance Python Data Analysis jobs in Simpsonville, SC are:
What cities near Simpsonville, SC are hiring for Freelance Python Data Analysis jobs? Cities near Simpsonville, SC with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Data Analytics Senior Data Analyst (Labor & Employment)

Data Analytics Senior Data Analyst (Labor & Employment)

Ogletree Deakins

Greenville, SC • On-site

$77K - $98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Position Summary
Responsible for providing internal and client facing analytic and data visualization solutions. Develop processes and techniques to extract data from a variety sources, to determine how best to analyze the data, and generate descriptive and statistical analysis on the data, including regression and classification analyses. Perform analysis related to a number of employment-specific project types, including wage & hour, pay equity, reduction-in-force, employment discrimination, and other litigation-related exposure or damages models. Locate the necessary data sources, extract and convert raw, sometimes discordant data into structured files ready for analysis, verify data integrity, run preliminary descriptive analyses, and finalize documents and data for production. Create dashboards and other data visualizations in Power BI to help drive insights and tell the story of the analysis. Develop and document processes and techniques used to extract, clean, and analyze data. Explain your work to others with varying degrees of technical experience. Daily interaction with attorneys, clients and users, including presenting findings and summaries of analyses as well collaborating to create data-driven solutions to improve their workflows or processes. Identify opportunities to leverage internal and external data sources or processes to create value for clients or the Firm - including marketing, pricing efficiencies, talent and retention. Leveraging data to assist clients with creating more efficient, productive workforces through predictive analytics. Remote work permitted.
LOCATION: Ogletree, Deakins, Nash, Smoak & Stewart, P.C., Patewood IV, 50 International Drive, Suite 300, Greenville, SC 29615
Essential Functions
Also requires one (1) year of experience in the following:
  • Provide analytics support for a large organization with limited project direction;
  • Advanced Excel functions for analytical support;
  • Utilize statistical packages for analyzing large datasets (e.g. R, SAS, STATA, SPSS, etc.);
  • Manipulating, cleaning, analyzing, and refining data using a variety of tools including R, Python, Excel, and other software tools;
  • Tableau, Power BI, or other data visualization platform; and
  • Building data models, designing databases, data mining and using segmentation techniques, as well as familiarity with SQL queries.

Requirements
Main Education and Experience: Bachelor's degree in Computer Science, Economics, Statistics, Mathematics, or other quantitative field and four (4) years of experience as a Data Analyst, Software Engineer, or a closely related occupation where required experience gained.
Alternate Education and Experience: Master's degree in Computer Science, Economics, Statistics, Mathematics, or other quantitative field and two (2) years of experience as a Data Analyst, Software Engineer, or a closely related occupation where required experience gained.
Benefits
Ogletree Deakins offers a robust suite of benefits for our Staff including: Paid Time Off, Paid Sick Leave, a 401(k) matching program, Profit Sharing, Paid Holidays, Paid Parental Leave, affordable Health and Life Insurance including Dental & Vision coverage, Health Savings Account /Flexible Spending Accounts to help offset the cost of dependent care and/or health care expenses, Tuition Reimbursement and an Employee Assistance Program.
Contact Information
If you have questions, please e-mail Kegan Reiswig at kegan.reiswig@ogletree.com with "Sr. Data Analyst (Labor & Employment)" in the subject line. Please note, applications submitted via e-mail will not be considered.
Firm Overview
Ogletree Deakins is one of the largest labor and employment law firms representing management in all types of employment-related legal matters. Best Law Firms® has named Ogletree Deakins a "Law Firm of the Year" for 14 consecutive years. In the 2025 edition, the publication named Ogletree Deakins its "Law Firm of the Year" in the Litigation - Labor and Employment category. Ogletree Deakins has more than 1,100 attorneys located in 60 offices across the United States and in Europe, Canada, and Mexico. The firm represents a diverse range of clients, including many of the Fortune 50 companies in the U.S.
We are fully committed to the importance of diversity within the legal profession, as well as all workplace environments.
Equal Opportunity Employer.
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