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Weekend Python Data Analyst Jobs in Greenville, SC

Data Analyst Sr- Level 3

Greenville, SC · On-site

$85K - $150K/yr

... data scientist analyst who will play a key role in developing, deploying, and maintaining data ... with Python-R programming -Background/ Interest with AI machine learning concepts and can ...

Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data * Visualizes insights ...

Data Scientist

Greenville, SC · On-site

$45.96 - $50.96/hr

Pay Range $45.96hr - $50.96hr Requirement/Must Have: 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve fitting ...

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Pay Range $45.96hr - $50.96hr Requirement/Must Have: * 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve ...

New

Data Scientist III - FCRM

Greenville, SC · On-site

$96K - $155K/yr

Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data * Visualizes insights ...

... 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 ...

Business Analysts apply their data analytics and business acumen to support data-driven business ... Working knowledge of SQL and/or Python preferred * Strong written and verbal communication skills ...

Business Analysts apply their data analytics and business acumen to support data-driven business ... Working knowledge of SQL and/or Python preferred * Strong written and verbal communication skills ...

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Weekend Python Data Analyst information

See Greenville, SC salary details

$32K

$77.7K

$127.9K

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

As of Aug 4, 2026, the average yearly pay for weekend python data analyst in Greenville, SC is $77,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What is a Weekend Python Data Analyst?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Greenville, SC? The most popular types of Python Data Analyst jobs in Greenville, SC are:
Infographic showing various Weekend Python Data Analyst job openings in Greenville, SC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,706 per year, or $37.4 per hour.

Fraud Data & Technology Analyst

United Community Bank

Greenville, SC • On-site

$49K - $127K/yr

Full-time

Posted 6 days ago


Job description

The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection.

This position is available in Greenville, SC and Blairsville, GA. 


  • Reporting & Analytics
    • Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
    • Analyze fraud data and translate complex findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
    • Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement initiatives.
  • Fraud Technology Support
    • Support the administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
    • Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring to ensure technology effectiveness and operational reliability.
    • Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing.
       
  • Rules & Model Management
    • Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience.
    • Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls.
  • Data Management
  • Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
  • Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
     
  • Cross-Functional Partnership
    • Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
    • Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
    • Provide analytical support and subject matter expertise for fraud-related initiatives.

  • Bachelor's degree or higher preferred
  • 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
  • Required Skills:
    • Hands-on experience with fraud and/or banking platforms.
    • Experience with data visualization and reporting tools (e.g., Tableau, Power BI, etc.).
    • Experience querying and analyzing large datasets using SQL or similar data analysis tools.
    • Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
    • Strong analytical, problem-solving, and communication skills.
    • Demonstrated ability to collaborate effectively with cross-functional teams.
       
  • Preferred Skills:
    • Experience with machine learning concepts or partnering with data science teams.
    • Experience creating or maintaining process maps for technical or operational processes
    • Familiarity with APIs, system integrations, or cloud-based data environments.
    • Ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.

  • Must be able to pass a criminal background & credit check
  • This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.
  • Up to 10% of travel may be required.


FLSA Status: Exempt

Ready to take your career to the next level? Apply now and become a vital part of our team!

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


USD $49,972.00 - USD $76,958.00 /Yr.