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Freelance Python Data Analysis Jobs in Lancaster, SC

Incedo Inc

Data Engineer AWS OpenSearch

Fort Mill, SC · On-site

$100K - $120K/yr

The ideal candidate will have hands-on experience with AWS data services, OpenSearch, Python, SQL, and cloud-native architectures to support analytics and real-time search capabilities. Key ...

Incedo Inc

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

Architect and optimize large-scale ETL/ELT frameworks using Python, PySpark, and SQL * Implement ... AWS Solutions Architect Professional and/or AWS Data Analytics Specialty * Snowflake and/or ...

Capgemini

Snowflake Data Engineer - DBT

Fort Mill, SC · On-site

$100K - $120K/yr

Design develop and maintain data pipelines and ETL processes using Snowflake AWS services Python and DBT * Collaborate with data scientists and analysts to understand data requirements and implement ...

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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 Lancaster, SC is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $56.78 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 job categories do people searching Freelance Python Data Analysis jobs in Lancaster, SC look for?

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

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

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

Freelance Python Data Analysis jobs near you

Data Analyst / Product Analyst - Capital Markets

Fort Mill, SC • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

Full-time

Posted 21 days ago

Job description

We are seeking an experienced Data Analyst / Product Analyst with 10+ years of experience in Capital Markets, financial services, or banking environments. The ideal candidate will have strong hands-on expertise in SQL, Python, data analysis, and business data analysis, combined with experience supporting complex, multi-business and multi-system initiatives.

Responsibilities:

  • Perform business and data analysis using SQL and Python to identify trends, patterns, data issues, and actionable insights.
  • Analyze complex Capital Markets data and business processes across multiple businesses and systems.
  • Gather, manage, and document business/functional requirements, including user stories, use cases, acceptance criteria, and test scripts.
  • Develop customer journey maps and analyze business processes to identify gaps and opportunities for improvement.
  • Support design and solution-related activities for complex, multi-business, multi-system initiatives.
  • Work closely with Product Owners, business stakeholders, developers, QA, and technology teams within an Agile/Scrum environment.
  • Support product lifecycle development, including requirements, design, testing, implementation, and post-production activities.
  • Use Jira to manage requirements, user stories, backlog items, defects, and project deliverables.

Qualifications Required:

  • 10+ years of experience in Data Analysis, Business Analysis, Product Analysis, or a related field.
  • Strong hands-on experience with SQL and Python.
  • Strong Capital Markets domain experience; Banking/Financial Services experience is preferred.
  • Excellent analytical, problem-solving, and business data analysis skills.
  • Experience with requirements management, user stories, use cases, test scripts, and customer journey mapping.
  • Strong experience working in Agile/Scrum environments and using Jira.
  • Experience supporting complex, multi-business and multi-system initiatives with strong stakeholder communication skills.

Preferred Qualifications:

  • Experience in Banking or Financial Services.

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