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Weekend Data Analytics Jobs in Atlanta, GA (NOW HIRING)

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual ...

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including ...

Data Analytics Analyst 3 Location: 10 Peachtree Place NE Suite 1000 Atlanta GA 30309 Duration: 10 Months Client: Southern Company Gas Position Overview We are seeking an experienced Data Analytics ...

Data Analytics Analyst II

Atlanta, GA · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS) group is an exciting and dynamic healthcare practice where you can start or continue your career ...

Data Analytics Analyst II

Atlanta, GA · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS) group is an exciting and dynamic healthcare practice where you can start or continue your career ...

... 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 ...

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Weekend Data Analytics information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do weekend data analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for weekend data analytics in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

Do weekend data analysts work on weekends?

Weekend data analysts often work on weekends if their role requires monitoring data, reporting, or supporting business operations outside regular hours. The schedule depends on the employer and project needs, with some roles offering flexible or weekend shifts. Skills in data tools like SQL or Excel can be useful for managing tasks during non-standard hours.

What is the difference between Weekend Data Analytics vs Data Analyst?

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

What are the most commonly searched types of Data Analytics jobs in Atlanta, GA? The most popular types of Data Analytics jobs in Atlanta, GA are:

Manager, Data Analytics

HD Supply

Atlanta, GA • On-site

Full-time

Posted 15 days ago


HD Supply rating

7.8

Company rating: 7.8 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

141st of 410 rated retail wholesalers


Job description

Position Profile: Manager, Data Analytics (Individual Contributor)

Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual Contributor role. This is not a people management position and does not have direct reports. The individual will be expected to operate as a senior technical leader, owning critical analytics capabilities, data products, measurement frameworks, and cross-functional business partnerships.

Executive Summary

We are seeking a highly technical analytics leader with deep expertise in data modeling, analytics engineering, digital analytics, experimentation, and business measurement.

The ideal candidate can independently design and build scalable analytical solutions, own production-grade datasets, develop measurement frameworks, conduct rigorous statistical analysis, and communicate complex findings to executive leadership in clear business language.

This role sits at the intersection of:

  • Analytics Engineering
  • Marketing Science
  • Digital Analytics
  • Data Products
  • Decision Science
  • Executive Storytelling

The successful candidate will be equally comfortable discussing SQL architecture, experiment design, attribution methodology, business strategy, and executive recommendations.

Core Requirements

Technical Depth (Most Important)

Advanced SQL & Data Modeling

Must demonstrate experience with:

  • Complex analytical data models
  • Large-scale data transformation
  • Multi-source data integration
  • Window functions
  • Complex CTE development
  • Session-level and customer-level analysis
  • Production-ready data model design

Analytics Engineering

Must have experience:

  • Snowflake or modern cloud data platforms
  • Data pipeline ownership
  • Data quality validation
  • Metric governance
  • Scalable analytics solutions
  • Production dataset development

Digital & Ecommerce Analytics

Experience with:

  • Clickstream analytics
  • Customer journey analysis
  • Search analytics
  • Conversion funnels
  • Attribution models
  • Ecommerce performance measurement

Python

Strong preference for:

  • Pandas
  • Automation
  • Analytical workflows
  • Reporting automation
  • Data science tooling

Business & Leadership Expectations

The individual must be able to:

  • Translate technical findings into business decisions
  • Work directly with senior leaders
  • Influence product, marketing, and technology teams
  • Build trust in metrics and measurement
  • Resolve conflicting business interpretations

Act as the subject matter expert for analytics methodologies

Job Summary

Responsible for managing team efforts to develop easily repeatable reports and dashboards that allow internal clients to make data-driven decisions. Implements strategies that result in measurable financial returns. Works with various business stakeholders to develop insights and understand customer data.

Major Tasks, Responsibilities, and Key Accountabilities

  • Tests, analyzes, and solves data issues to ensure data integrity. Provides technical support for end users of the self-service business intelligence tool.
  • Develops complex reporting dashboards and scorecards. Reports and analyzes data for all areas of the business to drive results and guide business intelligence decisions.
  • Collaborates with Sales, Marketing, Customer Care, and Strategy to target insights and understand customer behavioral data.
  • Provides support to multiple departments to ensure that business intelligence, analytics, and reporting needs are met and delivered through technology, architecture, processes, and tools.
  • Manages project communications between all departments. Communicates directly with team members to monitor scheduled deliverables, relay revision requests, record progress, and address obstacles as needed.
  • Designs and manages multivariate and/or A/B testing for marketing and web evolution.

Nature and Scope

  • Solutions require analysis and investigation.
  • Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
  • Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  • Typically requires overnight travel 20% to 50% of the time.

Education and Experience

  • Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.

Our Goals for Diversity, Equity, and Inclusion

We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.

Equal Employment Opportunity

HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.


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