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

KGS Technology Group Inc

Data Analyst

Alpharetta, GA

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

Primerica

Data Analyst 3

Duluth, GA · Hybrid

$95K - $120K/yr

About this Position The Data Analyst will be responsible for learning the business process and data related to transactions and key performance indicators, the development of compiling appropriate ...

RELX

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates ...

Lexisnexis Risk Solutions

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates ...

LexisNexis

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates ...

RELX Group plc

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates ...

RELX Group plc

AI Data Analyst

Alpharetta, GA · On-site

We are seeking an AI Data Analyst to support teams in preparing and maintaining AI-ready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

RELX

AI Data Analyst

Alpharetta, GA · On-site

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

Equifax, Inc.

Sr. Data Analyst

Alpharetta, GA · On-site

$110 - $140/hr

Partnering with internal stakeholders across Data Operations Center ecosystem and disciplines to share findings from deep dive analysis, particularly opportunities for quality improvements and cost ...

Equifax, Inc.

Sr. Data Analyst

Alpharetta, GA · On-site

$84K - $105K/yr

Partnering with internal stakeholders across Data Operations Center ecosystem and disciplines to share findings from deep dive analysis, particularly opportunities for quality improvements and cost ...

Kemper

Senior Data Systems Analyst

Alpharetta, GA

$84K - $105K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

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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 Aug 21, 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

Data Analyst

KGS Technology Group Inc

Alpharetta, GA

Full-time

Re-posted 29 days ago

Job description

Job Description

Full-Time

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. 

 Responsibilities 

Interpret data, analyze results using statistical techniques and provide ongoing reports 

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality 

Acquire data from primary or secondary data sources and maintain databases/data systems 

Identify, analyze, and interpret trends or patterns in complex data sets 

Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems 

Work with management to prioritize business and information needs 

Locate and define new process improvement opportunities Requirements And Skills 

Proven working experience as a Data Analyst or Business Data Analyst 

Technical expertise regarding data models, database design development, data mining and segmentation techniques 

Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks) 

Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc) 

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy 

Adept at queries, report writing and presenting findings 

BS in Mathematics, Economics, Computer Science, Information 

Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality

Additional Information

Full-time

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