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Freelance Python Data Analysis Jobs in Charleston, SC

Data Scientist

Charleston, SC · On-site

$100 - $125/hr

This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands‑on data analysis, data extraction, and ad‑hoc reporting using Python, SQL ...

Data Scientist

Charleston, SC · On-site

$125 - $150/hr

This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands-on data analysis, data extraction, and ad hoc reporting using Python, SQL, and ...

This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands-on data analysis, data extraction, and ad hoc reporting using Python, SQL, and ...

This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands-on data analysis, data extraction, and ad hoc reporting using Python, SQL, and ...

This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands-on data analysis, data extraction, and ad hoc reporting using Python, SQL, and ...

This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands-on data analysis, data extraction, and ad hoc reporting using Python, SQL, and ...

... Data Modeling and analysis of work-flow processes. Responsibilities: * Evaluate, develop, and ... Intermediate Python knowledge/experience * Intermediate proficiency in SQL * Advanced proficiency ...

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Freelance Python Data Analysis information

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

As of Sep 9, 2026, the average hourly pay for freelance python data analysis in Charleston, SC is $54.86, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $62.31 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 Charleston, SC?

The most popular types of Python Data Analysis jobs in Charleston, SC are:

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

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The top searched job categories for Freelance Python Data Analysis jobs in Charleston, SC are:

What cities near Charleston, SC are hiring for Freelance Python Data Analysis jobs?

Cities near Charleston, SC with the most Freelance Python Data Analysis job openings:

Infographic showing various Freelance Python Data Analysis job openings in Charleston, SC as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $114,107 per year, or $54.9 per hour.

Engineer Data (Multiple Positions) (REF291620F)

Charleston, SC • On-site

Bosch Group
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees

$109K - $131K/yr

Full-time

Re-posted 27 days ago


Key responsibilities

  • Create and maintain data pipelines to provide data for analytics and data mining.

  • Assemble and analyze large, complex datasets from various sources to meet business requirements.

  • Build analytics tools utilizing data pipelines to generate actionable insights for process improvements and operational efficiency.


Bosch rating

7.4

Company rating: 7.4 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

295th of 499 rated machine equipment manufacturers


Job description

Company Description
Robert Bosch LLC seeks Engineer Data (Multiple Positions) at its facility located at 8101 Dorchester Road, Charleston, SC 29418. Provide data to end users by creating and maintaining data pipelines allowing them to do data analytics and data mining. Create and maintain optimal data pipelines for test and experimental data. 10% Work with data warehouses, data lakes and cloud-based environments. Extract, transform and load the data from a wide variety of sources using Python, SQL, and/or MS Azure. 10% Assemble and analyze large, complex datasets from different sources that meet business requirements. 15% Build analytics tools that utilize data pipelines to provide actionable insights into development and manufacture process improvements, operational efficiency, testing supervision, test evaluation. 10% Work with design, testing and manufacturing engineers to assist with data-related issues and support data infrastructure needs, including predictive maintenance and performance evaluation. 15% Work with an international team of data and analytics experts to strive for greater functionality in data systems and digitalization efforts. 10% Monitor release testing progress and implement new tracing metrics, applying machine learning and visualization methods to classify and evaluate test data. 10% Identify, design and implement internal process improvements, including physics-based modeling and automating analysis pipelines. 5% Build processes supporting data transformation and data structures, demonstrate through Python-based pipelines for test and experimental data. 5% Ability to manipulate, process and extract value from large connected and disconnected datasets in both experimental and production environments. 10% REQS: This position requires a bachelor's degree or foreign equivalent in Mechanical Engineering, Aerospace Engineering, Computer Science, Informatics, Information Systems or a related field, and 3 years of experience as a Mechanical Engineer, Data Scientist or in an occupation involving data processing, designing mechanical components, testing and validating components. Additionally, the applicant must have employment experience with: (1) Cloud environments such as Azure and Databricks, and proficiency in Python for large-scale data analysis in development, testing and production environment; (2) PySpark or Scala, and Python for transformation, modeling, and analysis of high-volume test and experimental data coming from different sources like test benches, vehicle data, simulations and production equipment; (3) Collecting, processing, and analyzing data from multiple internal and external sources to perform root cause analysis related to vehicle dynamics and system performance, identifying improvement opportunities, developing data driven solutions, and validating results through numerical simulations and test data correlation; (4) Performing root cause analysis on production-related troubleshooting through vibration, durability, and hydraulic system data; (5) Machine learning algorithms for classification, predictive maintenance, and test data analysis; (6) Manipulating process and extract insights from large experimental and production datasets; and (7) Hydraulic Systems, Tableau, Power BI, Qlik, PySpark, Scala, Python, Azure, Databricks, Siemens NX and Teamcenter, MS Project, MATLAB, Ansys Fluent, and Abaqus. Travel Requirements: 10% domestic and international travel. Telecommuting: 1 day work from home/4 days on site per week. Applicants who are interested in this position should apply via https://www.bosch.us/careers/, search [Engineer Data (Multiple Positions) /
REF291620F].
Job Description
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What Bosch employees say

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About Bosch

Sourced by ZipRecruiter

Bosch is a renowned multinational company based in Farmington Hills, Michigan. Associated with the industrial technology, consumer goods, and building technology sectors, Bosch is an iconic name in the global market. In addition to its high-quality product roster, which is chiefly characterized by home appliances, power tools, automotive parts, and smart home items, it offers unparalleled services in the realms of software and business process outsourcing. Founded by Robert Bosch in Stuttgart, Germany in 1886, the company has stayed true to its core values of superior quality and innovation.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Farmington Hills, MI, US