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Weekend Data Analyst Jobs in Greenville, SC (NOW HIRING)

Jobsultant Solutions

Data Analyst

Duncan, SC · On-site

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

Recruit Monitor

Data Analyst

Duncan, SC

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

Staffingine LLC

Data Analyst

Greenville, SC · On-site

Data Analyst Job Location: Greenville, SC Job Type: Contract * Help prepare borrowing base reports, and monthly service reports * Provide support in initiatives with Data Governance to help optimize

Sulekha.com New Media Pvt Ltd

Data Analyst

Easley, SC · On-site

$80 - $100/hr

And currently I'm working Google data analyst certification. I will be done with certification in 2 weeks My Skill Set * SQL * Data Cleansing * R Programming My Qualifications and Preferences Job ...

BJU Press

Associate Data Analyst

Greenville, SC · On-site

$60 - $80/hr

Provide quality assurance for other data analyst(s) report builds. * Run queries and present the results in a format easily understood by the requestor of the data by using charts and PowerPoint.

Purpose Financial

HR Data Analyst

Greenville, SC · On-site

Position Summary The HR Data Analyst supports our growing HR Analytics function to advance the HR data analytics strategy. This role serves as the operational foundation of the team - ensuring that ...

Regional Finance

Senior Associate, Data Analyst

Greer, SC · On-site

$82K - $104K/yr

As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful insights that support every area of the business. Using modern analytics, reporting, and AI-powered ...

Regional Finance

Senior Associate, Data Analyst

Greer, SC · On-site

$82K - $104K/yr

As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful insights that support every area of the business. Using modern analytics, reporting, and AI-powered ...

Vertiv Group Corp.

Data Analytics Senior Analyst

Pelzer, SC · On-site

$64K - $81K/yr

... Analyst is responsible for analyzing, preparing, and presenting data to support executive decision-making, project reporting, and operational performance tracking. This role focuses on developing ...

Vertiv Co

Data Analytics Senior Analyst

Pelzer, SC

$64K - $81K/yr

... Analyst is responsible for analyzing, preparing, and presenting data to support executive decision-making, project reporting, and operational performance tracking. This role focuses on developing ...

AFL

Data Governance Analyst

Duncan, SC · On-site

An AFL Data Governance & Analytics Analyst plays a critical role in transforming complex enterprise data into trusted insights that drive business decisions, operational performance, and continuous ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Greenville, SC

Weekend Data Analyst information

See Greenville, SC salary details

$32K

$77.7K

$127.9K

How much do weekend data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend 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 is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

What are the key skills and qualifications needed to thrive as a weekend data analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
More about Weekend Data Analyst jobs

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Cities near Greenville, SC with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you

Data Analyst

Jobsultant Solutions

Duncan, SC • On-site

Full-time

Posted 14 days ago

Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

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