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Data And Analytics Jobs in Georgia (NOW HIRING)

The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and the development of various databases to support program implementations, value demonstration and ...

The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance ...

Own the data infrastructure and analytical output that power the National Industrial platform. * Design, build, and maintain the core datasets that support Investor business development, Occupier ...

Infrastructure Data Analytics Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

The IT Data & Analytics Lead will help build a new centralized analytics function. This role blends business ownership with technical expertise, owning analytics outcomes while designing scalable ...

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ID: 523775 Oldcastle, a CRH company, is reinventing what's possible in building solutions. We are the ...

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

Showing results 41-60

Data And Analytics information

See Georgia salary details

$20

$46

$79

How much do data and analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data and analytics 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 data and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

What are some common challenges faced by professionals in data and analytics roles, and how can they be addressed?

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

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

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.

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

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

Is data and analytics a good career?

Data and analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, and Tableau. It offers opportunities across industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What does a data and analytics job do?

A data and analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Professionals in this field use tools like SQL, Python, or Tableau to interpret data trends and generate reports, often requiring strong analytical skills and knowledge of data management. The role may also include data visualization, data cleaning, and ensuring data accuracy to support strategic planning.

What jobs are there in data and analytics?

Jobs in data and analytics include roles such as Data Analyst, Data Scientist, Data Engineer, Business Intelligence Analyst, and Analytics Manager. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.

What are the most commonly searched types of Data And Analytics jobs in Georgia?

The most popular types of Data And Analytics jobs in Georgia are:

What cities in Georgia are hiring for Data And Analytics jobs?

Cities in Georgia with the most Data And Analytics job openings:

Infographic showing various Data And Analytics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.

Senior Banking Consultant - Data & Analytics

Techgene Solutions

Atlanta, GA • On-site

$82K - $104K/yr

Other

Posted 5 days ago


Job description


Position: Banking Data & Analytics SME

Duration 6+ Month Contract Likely Extension

Location : Alpharetta GA


Summary

We are seeking a senior banking professional who can act as a liaison between business stakeholders and data/analytics teams.

This person will work closely with bank executives and stakeholders to define business requirements, reporting needs, KPIs, customer analytics initiatives, and data-driven business solutions.

This is a Banking SME / Business Consultant / Product Owner style role.


Must-Have Experience

Banking Domain

  • Retail Banking
  • Commercial Banking
  • Banking Operations
  • Banking Analytics
  • Financial Institution experience in the U.S.

Data & Analytics

  • Data Warehousing
  • Business Intelligence
  • Reporting & Analytics
  • Customer 360 Initiatives
  • KPI Definition
  • Data Requirements Gathering

Business Consulting

  • Executive Stakeholder Management
  • Requirements Gathering
  • Workshop Facilitation
  • Business Process Analysis
  • Translating Business Needs for Technical Teams

Preferred Backgrounds

Target candidates with titles such as:

  • Banking SME
  • Banking Consultant
  • Banking Business Analyst
  • Senior Business Analyst
  • Data & Analytics Consultant
  • Product Owner
  • Data Product Manager
  • Customer Analytics Lead
  • Data Warehouse Business Lead


Key Responsibilities

  • Work with banking executives and business leaders
  • Lead discovery sessions and workshops
  • Define business KPIs and reporting requirements
  • Support Customer 360 initiatives
  • Define profitability, growth, customer, and operational metrics
  • Translate business needs into data and analytics requirements
  • Collaborate with architects, engineers, BI, and analytics teams
  • Validate reporting and analytical outputs