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Remote Data Analyst Python Jobs in Lancaster, SC

Ferroglobe

Business Data Analyst

Charlotte, NC · Remote

$95K - $110K/yr

Experience in programming languages such as Python, R, and SQL. * Proficiency with data ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

LPL Financial

Analyst - Advanced Analytics

Fort Mill, SC · On-site +1

$69.73K - $116.18K/yr

You'll work with data to track how advisors are performing, assist in building reports, and help ... Python, R) * 2+ years of experience working with relational databases (e.g., SQL Server, Oracle ...

Lantern

Strategy Analyst

Rock Hill, SC · Remote

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

EnthuZiastic

Growth Hacker - Remote

Rock Hill, SC · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

EverCommerce

Analyst, Growth

Rock Hill, SC · On-site +1

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

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See Lancaster, SC salary details

$29K

$70.5K

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How much do remote data analyst python jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data analyst python in Lancaster, SC is $70,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $82,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst (Python), and why are they important?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What job categories do people searching Remote Data Analyst Python jobs in Lancaster, SC look for? The top searched job categories for Remote Data Analyst Python jobs in Lancaster, SC are:
Remote Data Analyst Python 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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