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

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 ...

Oshkosh Corporation

Sr. MES/SCADA Analyst

Spartanburg, SC · On-site

$92K - $154K/yr

The Senior Systems Analyst will be responsible for developing, enhancing, and supporting the SCADA ... Oversee protection of SCADA/MES environment and ensures data security and integrity by helping ...

Oshkosh Corporation

Sr. MES/SCADA Analyst

Spartanburg, SC · On-site

$92K - $154K/yr

The Senior Systems Analyst will be responsible for developing, enhancing, and supporting the SCADA ... Oversee protection of SCADA/MES environment and ensures data security and integrity by helping ...

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.

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.

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 ...

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

Weekend Data Analyst information

See Taylors, SC salary details

$30.4K

$74K

$121.7K

How much do weekend data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend data analyst in Taylors, SC is $73,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,800.00 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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For Weekend Data Analyst jobs in Taylors, SC, the most frequently searched job titles are:

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

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Taylors, SC as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $73,972 per year, or $35.6 per hour.

Data Governance Analyst

AFL

Duncan, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 26 days ago

Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $3B in revenue, and employ approximately 12,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.
What We Offer:
  • Flexible time off policy
  • 401K Company match (up to 4% - dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking a Data Governance & Analytics Analyst to join our team. This position will be able to work remotely from anywhere in the United States.
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 improvement. Combining strong analytical expertise with data governance principles, this role partners with business leaders to identify trends, risks, and opportunities, ensuring data is governed, trusted, and leveraged as a strategic asset. Working across business strategy, data analytics, and emerging AI-enabled capabilities, the role collaborates with Data Owners, Data Stewards, business stakeholders, and the Data Governance Council to improve data quality, strengthen governance, and enable data-driven decision-making.
Key Responsibilities
  • Lead engagement with senior business stakeholders to define data governance priorities, align on business objectives, and translate needs into actionable data initiatives.
  • Lead the planning, coordination, and execution of data governance initiatives, ensuring alignment with business priorities, timelines, and governance objectives.
  • Perform advanced analysis of complex enterprise datasets to identify trends, anomalies, root causes, risks, and opportunities that drive governance decisions, operational improvements, and business outcomes.
  • Develop executive dashboards, visualizations, and data stories that communicate meaningful insights, governance performance, emerging trends, and business recommendations.
  • Leverage AI-assisted analysis and productivity tools to improve data discovery, documentation, reporting, and insight generation while ensuring outputs are accurate, explainable, and aligned with data governance standards.
  • Drive the development, documentation, and maintenance of data governance frameworks, including data quality standards, data lineage, metadata management, and data stewardship models.
  • Partner with data owners and stewards to ensure accountability for data quality, integrity, and compliance across domains.
  • Support process assessments and root cause analyses to identify, document, and recommend scalable process and system improvements that enhance data quality and governance.
  • Support regulatory and compliance initiatives by ensuring adherence to data policies, standards, and controls.
  • Collaborate with technology, info security, risk, compliance, and business teams to operationalize governance tools and processes.
  • Mentor junior analysts and contribute to building best practices within the data governance function.

Key Competencies (Behavioral)
  • Advanced Written and Verbal Communication: Ability to distill complex data concepts into clear, compelling narratives for executive and non-technical audiences.
  • Relationship Building & Influence: Demonstrated ability to build strong, trust-based relationships with business partners and influence decision-making without direct authority.
  • Critical Thinking: Exceptional analytical and problem-solving skills, with the ability to challenge assumptions and evaluate data from multiple perspectives.
  • Strategic Thinking: Strong ability to connect data governance initiatives to enterprise strategy, risk management, and business value creation.
  • Analytical Curiosity: Demonstrates intellectual curiosity by exploring data beyond the obvious, asking insightful questions, identifying patterns, and uncovering root causes that drive business value.
  • AI & Digital Fluency: Demonstrates the ability to effectively leverage AI-enabled tools and emerging technologies to enhance analysis, productivity, and decision-making while applying sound judgment and validating results.
  • Leadership & Mentorship: Experience guiding junior team members and fostering a culture of data stewardship and accountability.
  • Stakeholder Management: Skilled at navigating complex organizational structures and aligning competing priorities.
  • Ownership & Initiative: Proven self-starter who proactively identifies opportunities, drives initiatives forward, and operates effectively with minimal direction.
  • Attention to Detail & Data Accuracy: Highly detail-oriented with a strong commitment to data integrity, quality, and precision in analysis and reporting.
  • Adaptability & Continuous Learning: Thrives in fast-paced environments, quickly adapting to change while continuously building knowledge in evolving data governance practices and tools.

Key Competencies (Technical)
  • Advanced understanding of data structures, relational databases, data modeling principles, and analytical techniques.
  • Advanced proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI) for data extraction, transformation, analysis, and validation.
  • Familiarity with Oracle EBS or other ERP, MRP, Supply Chain Planning and Scheduling systems.
  • Familiarity with data governance frameworks (g.DGI, DAMA-DMBOK).
  • Proven experience analyzing large, complex datasets using statistical, exploratory, and diagnostic analysis techniques to identify trends, anomalies, and improvement opportunities.
  • Identify patterns, trends, and opportunities within enterprise data that improve business processes, operational performance, and decision-making.
  • Experience translating complex data analysis into actionable insights and delivering clear, impactful presentations of findings and recommendations.
  • Experience using AI-enabled productivity tools (e.g., Microsoft Copilot, Microsoft Coworker, Claude, Power BI Copilot, or similar technologies) to support analysis, documentation, reporting, and business process improvement.
  • Ability to effectively validate AI-generated outputs using critical thinking, business knowledge, and data analysis techniques.
  • Experience with data governance tools (e.g., Collibra, Alation) and data management concepts (data quality, metadata, data lineage).
  • Demonstrated ability to manage and coordinate data governance initiatives, ensuring effective planning, execution, and stakeholder engagement.

Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Information Management, Mathematics, Engineering or a related discipline
  • 3-5+ years of experience in business analysis, data analysis, or data governance roles, preferably in a supply chain or manufacturing environment
  • Proven ability to work with a high degree of autonomy, exercise sound judgment and manage competing priorities while consistently delivering high-quality outcomes on time.
  • Familiarity with S&OP and/or IBP processes a plus.

Working Conditions
  • Normal office and manufacturing facility environment. Some travel may be required, but not frequent (<15%).

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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