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Weekend Data Analyst Jobs in Georgia (NOW HIRING)

4pconsultinginc

Data Analyst II

Forest Park, GA · On-site

Data Analyst II Location: Forest Park, GA Contract- 15 Months Client- Southern Company Services Position Overview The Data Analyst II supports TSS Engineering by developing and maintaining data ...

Spruce Infotech

Data Analyst/Eng

Alpharetta, GA · On-site

Data Analyst/Eng Alpharetta, GA - Hybrid Required Skills: * Strong experience in Teradata for data warehousing and SQL-based analysis. * Hands-on experience with Big Data technologies such as Hadoop

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

ITTConnect is seeking a Data Analyst (Neo4j) to work remotely for a client in the US. This is a contract position with a client that is a global leader in consulting, digital transformation ...

Home Depot

Data Analyst - Rental

Atlanta, GA · On-site

A Data Analyst leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts ...

CGI Inc.

Omnichannel Data Analyst

Atlanta, GA · On-site

Omnichannel Data Analyst Category: Marketing Main location: United States, Georgia, Atlanta Position ID:J0626-0752 Employment Type: Full Time Position Description: CGI is seeking an Omnichannel Data ...

Hertz

Commercial Data Analyst

Atlanta, GA · On-site

$65K/yr

As a Commercial Data Analyst, you are responsible for ensuring that data is timely, accurate, and available to stakeholders across the commercial organization. To be successful, a Commercial Data ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · On-site

$52.37 - $65.06/hr

And more Overview The CDCE Data Analyst at Emory Healthcare provides strategic and operational support through the analysis of clinical, financial, and claims data. This role is responsible for ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and operational support through the analysis of clinical, financial, and claims data. This role is ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · On-site

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and operational support through the analysis of clinical, financial, and claims data. This role is ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · On-site

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and operational support through the analysis of clinical, financial, and claims data. This role is ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

ITTConnect is seeking a Data Analyst (Neo4j) to work remotely for a client in the US. This is a contract position with a client that is a global leader in consulting, digital transformation ...

Primerica

Data Analyst 3

Duluth, GA · Hybrid

$85K - $100K/yr

Role Purpose The Strategic Vendor Management Data & Analytics Lead is the central authority for SVM data, analytics, reporting, and enablement tools. This role supports SVM leadership, the Strategic ...

Electrosoft

Data Analyst II

Atlanta, GA

Data Analyst II Responsibilities and Duties: * Participate in recurring program forums, including Weekly Project Status Reporting, coordination meetings, and Standard Operating Procedure (SOP ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Primerica, Inc.

Data Analyst 3

Duluth, GA · On-site

$85K - $100K/yr

Role Purpose The Strategic Vendor Management Data & Analytics Lead is the central authority for SVM data, analytics, reporting, and enablement tools. This role supports SVM leadership, the Strategic ...

HEALTHMPOWERS INC.

Program Data Analyst

Norcross, GA · Hybrid

$23K/yr

SUMMARY: The Program Analyst will be primarily responsible for ensuring accurate and efficient data entry into various systems and databases. The Program Analyst will play a crucial role in ...

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 ...

Coca-Cola

Data Analyst (Data Solutions)

Atlanta, GA · On-site

The Coca-Cola Company is seeking a Manager, Data Analyst (Data Solutions) to support the Data Analytics & Engineering team within the Digital & Data NAOU organization. This role serves as a critical ...

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All JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Georgia

Weekend Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do weekend data analyst jobs pay per year?

As of Jun 28, 2026, the average yearly pay for weekend data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

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.

What are Weekend Data Analysts?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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.
More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Georgia? The most popular types of Data Analyst jobs in Georgia are:
What are popular job titles related to Weekend Data Analyst jobs in Georgia? For Weekend Data Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Georgia look for? The top searched job categories for Weekend Data Analyst jobs in Georgia are:
What cities in Georgia are hiring for Weekend Data Analyst jobs? Cities in Georgia with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Georgia as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Data Analyst II

4pconsultinginc

Forest Park, GA • On-site

Contractor

Posted 6 days ago

Job description

Data Analyst II 

Location: Forest Park, GA

Contract- 15 Months

Client- Southern Company Services

Position Overview

The Data Analyst II supports TSS Engineering by developing and maintaining data-driven tools, dashboards, and applications to enable informed decision-making across engineering and operations. This role requires strong technical skills in SQL, Python, Spark, and data visualization as well as an understanding of utility power transmission and substation engineering business processes.

Major Job Responsibilities

  • Data Acquisition & Maintenance: Acquire, filter, and clean data from primary and secondary sources; maintain structured databases and data systems.

  • Data Analysis: Identify, interpret, and analyze complex trends and patterns in large datasets. Apply statistical techniques to deliver actionable insights.

  • Dashboard Development: Create and maintain Power BI/Tableau/Palantir Foundry dashboards for leadership visibility into performance metrics.

  • Visualization & Reporting: Translate engineering and business data into intuitive dashboards, custom visualizations, and clear reports.

  • Process Improvement: Assess and recommend best practices to improve data workflows, accuracy, and efficiency.

  • Collaboration: Partner with engineering leadership, finance, and regulatory teams to support compliance and reporting needs.

  • Ad-hoc & Critical Projects: Support urgent reporting, financial/regulatory submissions, and high-visibility projects requiring specialized analytics.

  • Training & Support: Provide end-user support and informal training on visualization tools and analytics concepts.

  • Custom Applications: Assist with development of adaptive web and low-code applications for reporting and process automation.

Qualifications

Education:

  • Bachelor’s degree in an analytical discipline (Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering) preferred.

Experience & Skills:

  • 3–5 years of professional experience in data analytics or related field.

  • Strong proficiency with SQL, Python, and/or Spark for data manipulation.

  • Demonstrated experience developing dashboards in Power BI (preferred), Tableau, or Palantir Foundry.

  • Experience handling large datasets; familiarity with big data, data modeling, and data management technologies.

  • Proficiency with Microsoft Office (Word, Excel, PowerPoint).

  • Exposure to utility power transmission, substations, or engineering shared services strongly preferred.

  • Experience with cloud platforms (Azure, Databricks) is a plus.

  • Strong analytical problem-solving skills with a natural curiosity to learn.

  • Demonstrated ability to coordinate multiple requests and meet deadlines.

  • Excellent written and verbal communication skills.