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Data Analytics Certificate Jobs in Georgia (NOW HIRING)

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... May require certification. Advanced degree may offset less experience in some disciplines. Our ...

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... May require certification. Advanced degree may offset less experience in some disciplines. Our ...

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... May require certification. Advanced degree may offset less experience in some disciplines. Our ...

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... May require certification. Advanced degree may offset less experience in some disciplines. Our ...

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... May require certification. Advanced degree may offset less experience in some disciplines. Our ...

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... May require certification. Advanced degree may offset less experience in some disciplines. Our ...

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft ...

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Data Analytics Certificate information

See Georgia salary details

$20

$46

$79

How much do data analytics certificate jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analytics certificate in Georgia is $46.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $52.36 per hour, depending on experience, location, and employer.

What is a data analytics certificate?

A Data Analytics Certificate job typically involves working with data to identify trends, generate insights, and help businesses make data-driven decisions. Professionals in these roles use analytical tools, statistics, and programming languages like Python or SQL to clean and interpret data. Earning a certificate in data analytics can help individuals gain fundamental skills and qualify for entry-level positions such as data analyst, business analyst, or reporting analyst.

What types of projects or tasks can I expect to work on with a data analytics certificate?

With a Data Analytics Certificate, you can expect to work on projects involving data collection, cleaning, and analysis, often supporting business decisions through reports and dashboards. Typical tasks may include identifying trends in large datasets, building visualizations to present your findings, and collaborating with teams such as marketing, finance, or operations to solve company challenges. Many roles also involve using statistical techniques to forecast outcomes or optimize processes. As you gain experience, you may take on more complex projects and assume greater responsibility for advising decision-makers or implementing analytics solutions.

What are the key skills and qualifications needed to thrive in the data analytics certificate position, and why are they important?

To thrive in data analytics, candidates need strong quantitative and statistical skills, proficiency in data visualization, and a solid understanding of data management concepts, typically demonstrated through formal training or a Data Analytics Certificate. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is essential. Analytical thinking, attention to detail, and the ability to clearly communicate insights are key soft skills for this field. These competencies allow professionals to transform complex data into actionable insights that drive better business decisions.

Is a data analytics certificate worth it?

A data analytics certificate can enhance job prospects for roles such as data analyst by demonstrating proficiency in tools like Excel, SQL, and Tableau. It provides foundational skills valued by employers and can help candidates stand out in a competitive job market, often leading to higher starting salaries and career advancement opportunities.

Which certification is best for a data analyst?

The most recognized certification for data analysts is the Microsoft Certified Data Analyst Associate, which validates skills in using Power BI and data modeling. Other valuable certifications include the Certified Analytics Professional (CAP) and Tableau Desktop Specialist, depending on the tools and skills relevant to the role.

What job categories do people searching Data Analytics Certificate jobs in Georgia look for?

The top searched job categories for Data Analytics Certificate jobs in Georgia are:

Infographic showing various Data Analytics Certificate job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,153 per year, or $46.2 per hour.

Manager, Data Analytics

HD Supply

Atlanta, GA

Full-time

Re-posted 3 days ago


HD Supply rating

7.8

Company rating: 7.8 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

145th of 423 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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