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Freelance Python Data Analysis Jobs in Charleston, SC

Brookfield Properties

Data Scientist

Charleston, SC · On-site

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 ...

Maymont Homes

Data Scientist

Charleston, SC · On-site

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 ...

Maymont Homes

Data Scientist

Charleston, SC · Remote

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 ...

Brookfield Properties

Data Scientist

Charleston, SC · Remote

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 ...

Ignite Digital

Data Analyst

Charleston, SC

$105K/yr

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

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

... analysis and distribution * Use a range of data visualization tools and data science techniques to ... Experience with Python, and libraries such as Pandas and Plotly * Experience with MapBox, AzureMaps ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC

$78K - $92K/yr

... analysis and distribution * Use a range of data visualization tools and data science techniques to ... Experience with Python, and libraries such as Pandas and Plotly * Experience with MapBox, AzureMaps ...

CenterWell Primary Care

Senior Data Analyst

Charleston, SC · On-site +1

$82K - $103K/yr

... Python, and know dimensional modeling and data warehouse design. Focus Area 2 - Business ... analytics, data engineering, business intelligence, or a planning and forecasting function

SANTEE COOPER

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

You will design end-to-end ETL/ELT and analytics platforms using Databricks, Informatica, Python ... Data Engineer III leads migrations to modern cloud warehouses, defines and enforces best practices ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site

$160K/yr

Develop data structures and governance models that support analytics, reporting, and future AI ... Develop Python-based ingestion and transformation processes. * Support orchestration and storage ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Develop data structures and governance models that support analytics, reporting, and future AI ... Develop Python-based ingestion and transformation processes. * Support orchestration and storage ...

Fathom 4, LLC

Data Scientist

Charleston, SC · On-site

Frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics * Notable experience with data science, data mining ...

Fathom 4, LLC

Data Scientist

Hanahan, SC · On-site

Frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics * Notable experience with data science, data mining ...

Varsity Tutors

Data Science Tutor

Charleston, 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 ...

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

As of Jul 28, 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, 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 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:
What are popular job titles related to Freelance Python Data Analysis jobs in Charleston, SC? For Freelance Python Data Analysis jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Charleston, SC look for? 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:
Freelance Python Data Analysis jobs near you
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)

Bosch Group

Charleston, SC • On-site

$109K - $131K/yr

Full-time

Posted 15 days ago

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].
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