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

Rock Community

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 ...

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 ...

SNAP Diagnostics

IT Data Analyst II

Anderson, SC · On-site

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 ...

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 · 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 ...

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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 8, 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.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Pendleton, SC?

The most popular types of Data Analyst jobs in Pendleton, SC are:

What job categories do people searching Weekend Data Analyst jobs in Pendleton, SC look for?

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

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

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.

Data Analyst

Rock Community

Anderson, SC • On-site

$60 - $80/hr

Other

Posted 7 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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