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

CirrusLabs

Data Scientist & Analyst

Alpharetta, GA · On-site

They are seeking an experienced Data Scientist & Analyst to provide analytical expertise, develop advanced models, and generate insights that drive cost optimization and operational efficiency.

Clorox

Capabilities Sr. Analyst

Alpharetta, GA · Hybrid

$84K - $105K/yr

Enterprise Data Execution and Stewardship Execute customer, product, hierarchy, and other master ... Analytical and decision-making Planning and organization Adaptability/Flexibility Strong ...

Hikoki

Senior Data & Analytics Specialist

Braselton, GA · On-site

$100 - $125/hr

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

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

Weekend Data Analyst information

See Gainesville, GA salary details

$31.7K

$77.1K

$126.8K

How much do weekend data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for weekend data analyst in Gainesville, GA is $77,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,400.00 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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Weekend Data Analyst jobs near you

Accela Strategic Business/Data Analyst

Synergy America, Inc

Lawrenceville, GA • On-site

$50 - $55/hr

Contractor

Posted 4 days ago

Job description

We are seeking a skilled Strategic Business/Data Analyst for a 6 to 12 months contract role in Lawrenceville, GA to support Planning & Development through data analysis, reporting, system support, quality assurance, automation, and technical solution delivery. The position will work with business stakeholders, Product Owners, Business Analysts, developers, and GIS professionals to translate operational needs into reliable data products and system improvements. The ideal candidate combines strong analytical and technical capabilities with the ability to communicate findings clearly, validate data and system functionality, and develop maintainable solutions. Experience with local government planning, permitting, licensing, code enforcement, or Accela Civic Platform is preferred but not required.

 

Skills:

·        Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business, Statistics, or a related field, or equivalent professional experience.

 

Preferred Experience:

·        3+ years of experience in data analysis, systems analysis, business intelligence, application support, or a related technical role.

·        Experience developing and maintaining dashboards and reports using Power BI, including data modeling, Power Query, and DAX.

·        Experience querying, validating, and integrating data using SQL and working with relational databases and enterprise data sources.

·        Experience developing scripts, applications, or automation using Python, JavaScript, APIs, or other programming languages.

·        Experience conducting quality assurance testing, documenting defects, and validating data and system functionality.

·        Experience with Accela Civic Platform, local government planning and permitting systems.

·        Strong customer-facing, presentation, documentation, and cross-functional collaboration skills. Experience with Agile methodologies and tools such as Jira, SQL Server Management Studio (SSMS), basic programming tools, SharePoint, Teams, Visio, Excel, and PowerPoint.

 

Responsibilities:

·        Perform advanced data and business analysis to support operational and strategic decisionmaking; validate data sources, calculations, and methodologies; and present findings in a clear, timely, and actionable format.

·        Develop, maintain, and enhance Power BI dashboards, reports, and other visualizations that provide accurate and meaningful insights; monitor refresh performance, usage, and stakeholder feedback to continuously improve reporting capabilities.

·        Develop scripts, applications, reusable tools, and automation using Python, JavaScript, SQL, APIs, and other technologies to reduce manual effort, improve data quality, and enhance operational efficiency. Advise Product Owners and departmental leadership on system configuration, data quality, reporting, performance, risks, and areas requiring improvement or additional attention.

·        Prepare technical documentation and conduct demonstrations, training, and knowledge-sharing sessions to strengthen team capabilities and promote consistent use of tools, data standards, and best practices. Maintain and enhance existing dashboards, integrations, scripts, and automation solutions to ensure reliability, performance, security, and long-term maintainability.

·        Identify opportunities for continuous improvement in reporting, data management, system performance, quality assurance, and business processes, and recommend practical, data-informed solutions.