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

Quest Global

Operation Business Analyst

Greenville, SC

$60K - $80K/yr

All sourced data must be reviewed prior to determining refresh cycle in PowerBI. * Treat all ... Strong analytical and quantitative skills to identify root causes and develop effective solutions.

Quest Global

Operation Business Analyst

Greenville, SC · On-site

$60K - $80K/yr

All sourced data must be reviewed prior to determining refresh cycle in PowerBI. * Treat all ... Strong analytical and quantitative skills to identify root causes and develop effective solutions.

Quest Global

Operation Business Analyst

Greenville, SC · On-site

$60K - $80K/yr

All sourced data must be reviewed prior to determining refresh cycle in PowerBI. * Treat all ... Strong analytical and quantitative skills to identify root causes and develop effective solutions.

Glsauto

Operations Analyst

Greenville, SC · On-site

$60 - $80/hr

Gather market research data to improve the Company's competitive position in the marketplace ... Evening and weekend work may be required as job duties demand * The position does not require ...

Global-Lending-Services

Treasury Analyst

Greenville, SC · On-site

$60 - $80/hr

Strong analytical, problem solving, data gathering, and analysis skills required * Strong Excel ... Evening and weekend work may be required as job duties demand * The position does not require ...

Global Lending Services

Treasury Analyst

Greenville, SC · On-site

$60 - $80/hr

Strong analytical, problem solving, data gathering, and analysis skills required * Strong Excel ... Evening and weekend work may be required as job duties demand * The position does not require ...

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

Weekend Data Analyst information

See Pendleton, SC salary details

$28.5K

$69.3K

$114K

How much do weekend data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for weekend data analyst in Pendleton, SC is $69,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,400.00 and $81,300.00 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.
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The most popular types of Data Analyst jobs in Pendleton, SC are:

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The top searched job categories for Weekend Data Analyst jobs in Pendleton, SC are:

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

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Pendleton, SC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,283 per year, or $33.3 per hour.

Business Analyst - December 2026 - May 2027 Grads

Greenville, SC • On-site

Global Lending Services
Finance and Insurance • 1 - 5K employees
Learn more about Global Lending Servicesexternal

Full-time

Posted 13 days ago

Global Lending Services rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

***This posting is to enter our campus recruiting and entry-level process for position offers being made for December 2026 or May 2027***
What does it mean to be a Business Analyst at GLS?
GLS is a highly analytic-driven company whose business model of providing auto loans to consumers through dealership partners has greatly thrived because of the great work our Analysts do. As an Analyst at GLS, you will work on solving important problems by deploying great critical thinking, education-based skill sets you've worked hard to obtain, and your demonstrated ability to learn new ideas and domains and turn knowledge into applied solutions.
Analysts play various roles across our company, taking on a variety of assignments within GLS business and operational areas. You will interact with team members both within your own area and cross-functionally, learning how the business is run and how to drive improvements, while gaining solid exposure to senior management.
The day-to-day activities will vary based on the group but could include the following:
Credit Risk, Pricing, and Partnership Business Analysts
  • Business Analysts in Credit Risk are responsible for analyzing and improving all aspects of the application processing, automated underwriting, and the pricing decision cycle within a highly competitive marketplace.
  • Business Analysts apply their data analytics and business acumen to support data-driven business decisions. They do this by leveraging multiple internal and external data sources, including both quantitative and qualitative data, and applying a broad range of skills such as visual analytics, estimation and simulation procedures, competitive analysis, etc.
  • Business Analysts are often asking and analytically answering questions such as:
  • What type of change is needed to optimize profit, or drive more volume?
  • How can we better understand the impacts of the changes we've made in the past?
  • What new product features and offerings will be more compelling to our dealer-partners?
  • What insights can we gain from our competitors?
  • What KPI's should be developed?
  • What are those KPI trends telling us?

What should you already have to be successful in this role?
  • Bachelor's degree in Statistics, Mathematics, Engineering, Data Science or Quantitative Finance
  • Proficient computer skills and ability to quickly learn new computer applications as required
  • Working knowledge of SQL and/or Python preferred
  • Strong written and verbal communication skills with the ability to present ideas in a cohesive business-focused and user-friendly language
  • Internally motivated with a demonstrated ability to take initiative, identify needs, make recommendations for improvement, see recommendations through implementation, and evaluate improvements for effectiveness
  • Exceptional interpersonal skills: friendly and tactful with the ability to influence others, effectively manage conflict, exercise sound judgment, effectively manage highly sensitive and confidential information, interact at all levels within the organization, and build cross-functional partnerships across the business

Employment Requirements:
  • This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, days and hours of work are Monday through Friday between the hours of 9:00am-6:00pm.
  • Regular, predictable attendance is required, including overtime hours as business demands dictate
  • Evening and weekend work may be required as job duties demand
  • The position does not require travel
  • Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity
  • Remain in a stationary position up to 100% of the workday
  • Constantly operate a computer and other standard office equipment

As part of our hiring process, we may use automated tools or artificial intelligence technologies to assist in evaluating applications, assessing qualifications, and supporting hiring decisions. All employment decisions are ultimately reviewed in accordance with applicable laws and company policies.

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