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Weekend Data Analyst Jobs in Fair Play, SC (NOW HIRING)

Data Analyst

Anderson, SC · On-site

$60 - $80/hr

The Data Analyst plays a critical role in maintaining the accuracy, health, and strategic use of the church's data. This position acts as the vital link connecting technical platforms--such as ...

The IT Data Analyst provides data, reporting, and analytics support across TTI's Carolina businesses - Consumer Power Tools (CPT), Outdoor Power Equipment (OPE), and Floor Care (FC) - partnering with ...

The Oncology Data Specialist is detail oriented, committed to high-quality data abstraction, meets both quality and productivity standards, functions well independently and works well under time ...

The Oncology Data Specialist is detail oriented, committed to high-quality data abstraction, meets both quality and productivity standards, functions well independently and works well under time ...

Retail Data Collection Associate - PT

Anderson, SC · On-site

$14 - $16/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

Retail Data Collection Associate - PT

Anderson, SC · On-site

$14 - $16/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

Retail Data Collection Associate - PT

Anderson, SC · On-site

$14 - $16/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

VRT) brings together hardware, software, analytics and ongoing services to enable its customers ... Vertiv solves the most important challenges facing today's data centers, communication networks and ...

VRT) brings together hardware, software, analytics and ongoing services to enable its customers ... Vertiv solves the most important challenges facing today's data centers, communication networks and ...

VRT) brings together hardware, software, analytics and ongoing services to enable its customers ... Vertiv solves the most important challenges facing today's data centers, communication networks and ...

VRT) brings together hardware, software, analytics and ongoing services to enable its customers ... Vertiv solves the most important challenges facing today's data centers, communication networks and ...

Mainframe Technician

Anderson, SC · On-site

$44.75 - $57.75/hr

... analysis, tracking, and resolution. The job hours can include 24/7, nights, days, weekends, and ... HIGH SCHOOL DIPLOMA AND EXPERIENCE IN DATA COMMUNICATION SYSTEMS, INSTALLATION, OPERATION, REPAIR ...

... analysis, tracking, and resolution. The job hours can include 24/7, nights, days, weekends, and ... HIGH SCHOOL DIPLOMA AND EXPERIENCE IN DATA COMMUNICATION SYSTEMS, INSTALLATION, OPERATION, REPAIR ...

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Weekend Data Analyst information

See Fair Play, SC salary details

$29.3K

$71.2K

$117.1K

How much do weekend data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend data analyst in Fair Play, SC is $71,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $83,500.00 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.

What cities near Fair Play, SC are hiring for Weekend Data Analyst jobs?

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

Infographic showing various Weekend Data Analyst job openings in Fair Play, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $71,153 per year, or $34.2 per hour.

$60 - $80/hr

Other

Posted 6 days ago


Job description

The Data Analyst plays a critical role in maintaining the accuracy, health, and strategic use of the church's data. This position acts as the vital link connecting technical platforms—such as RockRMS and the NewSpring App—with tangible ministry results. The primary goal is to equip every campus and ministry with the necessary insights to meet their individual and collective objectives. More than just managing data, the Data Analyst is responsible for delivering the critical insights that empower leaders to shepherd people more effectively and foster everyday relationships with Jesus for our people.

Primary Responsibilities:

Data System Development & Integration: Develop, integrate and maintain systems of data using RockRMS and other data tools to ensure seamless operations across the church as well as ensuring our systems are “AI-ready” for predictive modeling and AI driven insights

Data Stewardship: Create and support useful tools and reports to maintain data with high integrity, ensuring "one source of truth" for the entire church.

Ministry Shepherding: Provide data-driven support to ministries and campuses, helping them use metrics to shepherd people more effectively.

Ministry Goal Alignment: Analyze complex data sets to discover new ways to support our ministries and improve engagement. Partner with ministry leaders to provide reports that help achieve their specific ministry, campus and ultimately NewSpring’s organizational goals.

Additional projects and/or assignments as needed

Adhere to and encompass the qualities and characteristics required of NewSpring Church staff members, as defined by the Policies and Procedures Handbook.

Preferred Technical Requirements:

SQL: Proficient in writing SQL queries for custom reporting and automation.

Business Intelligence: Experience translating "Data Speak" into "Ministry Speak" through visualizations and actionable dashboards.

AI Systems: Demonstrated knowledge of modern AI data practices, including structuring data for "AI-readiness," utilizing Large Language Models (LLMs) for predictive modeling, and implementing automated data systems to drive church-wide insights.

Confidentiality: Must maintain the highest level of confidentiality regarding financial, personal, and staff information.

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