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Freelance Python Data Analysis Jobs in High Point, NC

Compunnel

Data Analyst

Greensboro, NC · On-site

The ideal candidate will have strong expertise in Power BI, SQL, Python, and statistical analysis ... data-informed decision-making. Key Responsibilities • Analyze and interpret large datasets to ...

1 point system

Business Data Analyst

Greensboro, NC · On-site

Experience with Python for data analysis or automation is a plus. * Knowledge of data governance, data privacy, and best practices is a plus. * Strong analytical, problem-solving, and troubleshooting ...

Belcan

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Belcan

Data Analyst

Greensboro, NC

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Belcan, LLC

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Pwc

AI & GenAI Data Scientist-Director

Greensboro, NC · On-site

$155K - $410K/yr

... Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging creativity and innovation in ...

Pwc

GenAI Python Systems Engineer-Manager

Greensboro, NC · On-site

$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 ...

Pwc

AI Engineer

Greensboro, NC · On-site

$50K - $112K/yr

... Python and TensorFlow - Integrating data from various sources to create unified views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data ...

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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 Aug 6, 2026, the average hourly pay for freelance python data analysis in High Point, NC is $52.30, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.42 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 freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

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 High Point, NC? The most popular types of Python Data Analysis jobs in High Point, NC are:
What job categories do people searching Freelance Python Data Analysis jobs in High Point, NC look for? The top searched job categories for Freelance Python Data Analysis jobs in High Point, NC are:
What cities near High Point, NC are hiring for Freelance Python Data Analysis jobs? Cities near High Point, NC 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 High Point, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,787 per year, or $52.3 per hour.

Data Analyst

Compunnel

Greensboro, NC • On-site

Contractor

Re-posted 12 days ago

Job description

Job Summary
We are seeking a Data Analyst to analyze large datasets and deliver actionable insights that improve product quality, operational performance, and customer experience. The ideal candidate will have strong expertise in Power BI, SQL, Python, and statistical analysis, with experience working in the automotive engineering industry. This role will collaborate with cross-functional teams to develop dashboards, identify trends, support root cause analysis, and drive data-informed decision-making.
Key Responsibilities
• Analyze and interpret large datasets to identify trends, patterns, and insights related to product quality and customer experience.
• Support the identification of emerging issues and perform root cause analysis using data modeling and analytical techniques.
• Develop and implement analytical methodologies to improve product performance, reliability, and customer satisfaction metrics.
• Analyze operational, customer, service, manufacturing, and warranty data to generate actionable business insights.
• Design, develop, and maintain interactive Power BI dashboards and reports.
• Ensure dashboard accuracy, data integrity, and proper functionality of scripts, links, and visualizations.
• Develop and optimize SQL queries to extract, transform, and analyze data from multiple sources.
• Utilize Python and statistical techniques to perform advanced analytics and data analysis.
• Apply machine learning techniques such as classification, regression, clustering, and anomaly detection to solve business problems.
• Support data modeling, transformation, and data structuring initiatives to improve data accessibility and usability.
• Collaborate with engineering, quality, and data teams to support analytics initiatives and continuous improvement efforts.
• Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.
• Identify opportunities to improve analytics processes, reporting, and data workflows.
Required Qualifications
• Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field.
• 5+ years of experience in a data analytics role.
• Experience creating and maintaining Power BI dashboards.
• Strong SQL skills with experience integrating data from multiple sources.
• Experience programming with Python or willingness to quickly develop proficiency.
• Experience working with large and complex datasets.
• Strong understanding of statistical analysis and machine learning techniques, including regression, clustering, classification, and anomaly detection.
• Experience analyzing warranty, quality, product performance, or operational data.
• Experience within the automotive engineering industry.
• Strong analytical, problem-solving, and communication skills.
• Experience working collaboratively with cross-functional teams.
Preferred Qualifications
• Advanced degree in Engineering, Computer Science, Mathematics, Statistics, or a related field.
• Experience with cloud-based analytics platforms or big data technologies.
• Experience with advanced analytics or machine learning initiatives in production environments.
• Knowledge of data engineering concepts and experience collaborating with data engineering teams.
• Experience supporting quality engineering, product reliability, or operational analytics initiatives.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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