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Weekend Data Analyst Jobs in Pendergrass, GA (NOW HIRING)

StrataBuilt LLC

Data Entry Analyst

Athens, GA · On-site

Data Entry Analyst StrataBuilt is an innovative company focused on delivering data-driven solutions and operational excellence across custom software development and consulting company. As we grow, w ...

Hikoki

Senior Data & Analytics Specialist

Braselton, GA · On-site

$90 - $120/hr

## Senior Data & Analytics SpecialistBewerbenlocations: Braseltontime type: Vollzeitposted on: Heute ausgeschriebenjob requisition id: JR\_1002377**Dein neuer Arbeitgeber sucht impulsgebende Macher ...

TSMG

Driver / Data Collector in Athens, GA

Athens, GA · On-site

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Pendergrass, GA

Weekend Data Analyst information

See Pendergrass, GA salary details

$33.8K

$82.2K

$135.3K

How much do weekend data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for weekend data analyst in Pendergrass, GA is $82,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,500.00 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.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Pendergrass, GA?

The most popular types of Data Analyst jobs in Pendergrass, GA are:

What cities near Pendergrass, GA are hiring for Weekend Data Analyst jobs?

Cities near Pendergrass, GA with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Pendergrass, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,221 per year, or $39.5 per hour.

Data Analyst / Data Engineer

Lawrenceville, GA

Summit Spine and Joint Centers
Outpatient Health Care • 201 - 500 employees
Learn more about Summit Spine and Joint Centersexternal

Full-time

Re-posted 4 days ago

Job description

Company Overview:

Summit Spine and Joint Centers (SSJC) is a rapidly growing, multi-state Interventional Pain Management group practice providing integrated clinical, surgical, and imaging services. With clinic locations across Georgia, North Carolina, South Carolina, and Tennessee, our care teams include Integrated Pain Solutions in North Carolina and Savannah Pain Management in Georgia, all operating as part of the SSJC organization. As one of the largest single-specialty practices in the nation, we are committed to collaboration, high-quality patient-centered care, and supporting our teams as we continue to expand. We are seeking motivated, qualified professionals to join us in delivering exceptional care across our growing network.

Job Description Summary:

Under the general supervision of the Associate Director of Data Solutions, the Data Analyst/Engineer must demonstrate excellent communication skills, strong problem-solving abilities, and the ability to multitask in a fast-paced environment. We are seeking a full-time, self-motivated Data Analyst/Engineer who will assist with administrative and data-related tasks. This in-person position will be located at the Summit administrative building in Lawrenceville, GA.

Responsibilities:

· Create and maintain data reports

· Collect, organize, and report on data to support business and operational decisions

· Assist in maintaining and updating databases and data systems

· Create and update dashboards

· Identify trends and patterns through data analysis

· Perform various other data-related functions as necessary

Education and Skills:

· Bachelor’s degree with a focus in STEM, Data Analytics, Finance, Business, Economics, Engineering, or a related field

· 1 year of experience within data analytics / data engineering preferred

· Familiarity with Microsoft Office, SQL, PowerBI, Tableau, etc.

· Excellent written and verbal communication skills

· Ability to work independently and in a team environment

· Basic knowledge of data analysis concepts and tools required

Apply