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Weekend Python Data Analyst Jobs in Greenville, SC

Td

AML Business Data Manager

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 ...

Regional Finance

Manager, Data Analytics

Greer, SC · On-site

Manipulate and analyze tradeline-level bureau data to support business use cases * Identify ... Advanced proficiency in SQL and/or Python (ability to independently build complex queries and ...

Global Lending Services

Business Analyst

Greenville, SC · On-site

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 ...

Global Lending Services

Business Analyst

Greenville, SC · On-site

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 ...

Pwc

AI & GenAI Data Scientist - Manager

Spartanburg, SC

$99K - $232K/yr

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

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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 Jun 10, 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 are Weekend Python Data Analysts?

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, and why are they important?

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:
Weekend Python Data Analyst jobs near you
Data Analyst | 2026 Start

Data Analyst | 2026 Start

American Credit Acceptance

Spartanburg, SC • On-site

Other

Posted 23 days ago

American Credit Acceptance rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Description
Launch your career with us! We're looking for students graduating between Fall 2025 and Summer 2026 who are ready to jump in and start full-time in 2026.
Are you ready to turn complex data into clear insights and help drive smart business decisions? If so, join us as a Data Analyst!
About American Credit Acceptance
American Credit Acceptance is a leading auto finance company with a dynamic work environment and a culture built on collaboration and growth. As a Data Analyst, you'll transform complex data into actionable insights that support key strategies and drive performance.
Essential Functions
Analyze quantitative and qualitative data to provide clear business insights and recommendations.
Partner with business teams to define data requirements and deliver reporting solutions.
Prepare, clean, and validate data to ensure quality and accuracy.
Develop tools and queries to extract data and support process improvement.
Present final analyses in a clear, concise format for stakeholders.
Contribute to project teams and support leadership with data consultation.
Qualifications
Bachelor's degree in a relevant field.
Experience with SQL or similar data querying languages.
Experience with a programming language.
Preferred Qualifications
Degree in an analytical or quantitative discipline.
1+ years of experience using SQL.
2+ years of programming experience.
Guiding Principles
To succeed in this role, you'll demonstrate ACA's core values: Integrity, Partnership, Humility, Principled Entrepreneurship, Initiative, and Fulfillment.
 
Work Environment and Physical Demands
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This position is required to lift at least 50 pounds and have the mobility to keep the storage areas orderly and floors cleaned of IT clutter.
Position Type/Expected Hours of Work
This is a full-time position with a work schedule of Monday-Friday with some schedule variations as needed including on-call coverage rotation. Occasional night or weekend work for special projects.
EEO Statement 
ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
 
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. 
 
California Privacy Notice 
As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.

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