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Freelance Python Data Analysis Jobs in Lancaster, SC

Ferroglobe

Business Data Analyst

Charlotte, NC · Remote

$95K - $110K/yr

Predictive Modeling and Exploratory Analysis. Apply statistical and machine learning techniques to ... Experience in programming languages such as Python, R, and SQL. * Proficiency with data ...

LPL Financial

Sr. Analyst, Data Science

Fort Mill, SC · On-site

$80.40K - $101.40K/yr

Required : • 2-4 years of experience in a data science, quantitative analysis, or applied research role in a business setting. • Proficiency in Python for data manipulation, statistical analysis ...

LPL Financial

Sr. Analyst, Data Science

Fort Mill, SC · On-site

$85.90K - $143.17K/yr

Proficiency in Python for data manipulation, statistical analysis, and machine learning, that goes beyond Jupyter notebooks; strives for clean, Git version-controlled code. * Solid grounding in ...

LPL Financial

Analyst - Advanced Analytics

Fort Mill, SC · On-site +1

$69.73K - $116.18K/yr

In this role, you'll develop core skills in data analysis, reporting, and visualization, while also ... Python, R) * 2+ years of experience working with relational databases (e.g., SQL Server, Oracle ...

Marencor

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

Strong ETL development using Python, PySpark, and Glue Jobs Orchestration & Integration ... AWS Certifications (Solutions Architect, Data Analytics Specialty) * Strong communication and ...

Danaher

Digital Analyst Internships

Rock Hill, SC

$85.90K - $101.60K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Calance US

Azure Data Engineer- onsite

Charlotte, NC · Hybrid

$106.90K - $128.40K/yr

... analytics. Compute & Automation: Develop custom Azure Functions (Python) and API integrations to bridge gaps where native connectors are insufficient, ensuring no data source is out of reach. Hybrid ...

FocusKPI

Marketing Operations Analyst

Rock Hill, SC · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Two Harbors Investment Corp.

Reporting Developer

Fort Mill, SC · On-site

$41.50 - $57/hr

Perform data analysis and ad hoc reporting to answer complex and time sensitive questions critical ... Experience with Python Physical Demands & Working Conditions The physical demands described here ...

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

As of May 30, 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 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 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 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

Business Data Analyst

Ferroglobe

Charlotte, NC • Remote

$95K - $110K/yr

Full-time

Posted yesterday

Job description

Who we are:

Ferroglobe is one of the world’s leading suppliers of silicon metal, silicon-based and manganese-based specialty alloys and ferroalloys, serving a customer base across the globe in dynamic and fast-growing end markets, such as solar, automotive, consumer products, construction and energy.

Learn more about our Transformation Story here: Who we are


Position Summary:

We are looking for a highly motivated Data/Business Analyst to join our team and help drive data-informed decision-making across the organization. The ideal candidate is both technically skilled and business-savvy, with a passion for transforming data into insights that drive strategic outcomes.


Key Responsibilities:

  • Data Source Monitoring. Ensure the correct execution of data loading processes from various sources, maintaining data quality, integrity, and availability.
  • Processing and Integrating New Data Sources. Evaluate new datasets that can add value to the business, defining storage structures and integration mechanisms to incorporate them into the existing data ecosystem in a clean, scalable, and organized manner.
  • Report Design and Implementation. Gather functional requirements from different business units to design and implement reports that enhance operational management and decision-making. Strong skills in developing clear and effective data visualizations are highly valued.
  • Predictive Modeling and Exploratory Analysis. Apply statistical and machine learning techniques to build predictive models and conduct exploratory analysis to identify patterns, detect anomalies, and uncover insights that support business strategies.
  • Ethical Data Management. Ensure compliance with data privacy and security regulations. Promote a culture of responsible data use across teams by educating colleagues on best practices for handling reports and sensitive information.

Qualifications

Technical Skills:

  • Experience in programming languages such as Python, R, and SQL.
  • Proficiency with data visualization tools like Power BI and Tableau.
  • Knowledge of relational and non-relational database engines, and data modeling principles.
  • Familiarity with ETL tools and data analysis techniques.
  • Solid understanding of statistics and machine learning for predictive modeling.

Soft Skills:

  • Problem-solving and critical thinking skills. The ability to face challenges, evaluate the validity of processes and processed information, and continuously identify opportunities to improve data quality, reporting, and analytical processes is a must.
  • Communication, storytelling and collaboration skills. Working with other departments will be key to understanding their information needs and capturing requirements to provide clear and relevant reports.
  • Attention to detail. It is crucial to ensure the accuracy and quality of data, as well as the identification of errors and validation of results.
Preferred Qualifications:
  • A degree in Computer Science, Statistics, Economics, Business or a related field is preferred.
  • 2+ year of experience in similar role.
  • Master’s degree in data science or similar is a plus.
  • English and Spanish is a must, French is a plus.
  • Proven experience in a data analyst or similar role.
  • Solid understanding of machine learning concepts and hands-on experience with predictive modeling.

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