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Data And Analytics Jobs in Georgia (NOW HIRING)

Technical Architect - Data, Analytics & AI

Macon, GA · Hybrid

$61.25 - $78.75/hr

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Technical ...

Job Summary Responsible for managing the analytic team efforts to develop easily repeatable reports and dashboards that will allow internal clients to make data-driven decisions. Implement strategies ...

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice. Responsibilities: * Lead the implementation and configuration of Oracle Fusion Data Intelligence (FDI ...

Job Summary Responsible for managing the analytic team efforts to develop easily repeatable reports and dashboards that will allow internal clients to make data-driven decisions. Implement strategies ...

KPMG is currently seeking a Manager, Oracle Data &Analytics in Enterprise Solutions for our Consulting practice. Responsibilities: * Lead the implementation and configuration of Oracle FusionData ...

KPMG is currently seeking a Manager, Oracle Data &Analytics in Enterprise Solutions for our Consulting practice. Responsibilities: * Lead the implementation and configuration of Oracle FusionData ...

This role helps to drive analytical initiatives to tangible results meeting and exceeding the ... Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop)

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 Aug 14, 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 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 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 jobs are there in data and analytics?

Jobs in data and analytics include roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, 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 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, create reports, and support strategic planning.

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 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 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, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.

Data Analytics Analyst III 4P/650

4P Consulting Inc

Atlanta, GA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Data Analytics Analyst III

Location: Atlanta, Ga Contract- 6 Months on W-2 Client- Georgia Power GC & US Citizen only

Position Overview

We are seeking an experienced Data Analytics Analyst III with strong expertise in data modeling, Power BI, SQL, and Azure-based analytics environments.

This role blends advanced analytics, BI development, and cloud-based data preparation within a modern lakehouse architecture (Databricks / Delta Lake). The ideal candidate can translate business questions into structured analytical datasets and actionable dashboards while coordinating small-to-mid-sized analytics workstreams.

Key Responsibilities

Data Modeling & Architecture

  • Design and implement dimensional and relational data models: star schema, conceptual, logical, and physical models, enterprise data structures
  • Apply best practices for performance optimization and scalability

SQL & Data Engineering

  • Develop advanced SQL queries across relational databases: Azure SQL, SQL Server, PostgreSQL
  • Work within Databricks and Delta Lake notebook environments
  • Support ETL/ELT processes, data validation, and data performance tuning

Business Intelligence & Reporting

  • Develop and maintain enterprise dashboards using Power BI
  • Create semantic models using DAX, Power Query (M)
  • Apply visualization best practices and dashboard UI/UX standards
  • Translate business requirements into analytical datasets and KPIs

Data Preparation & Cloud Analytics

  • Work within Azure analytics ecosystems: Azure Data Factory, Azure Synapse, Microsoft Fabric
  • Utilize Databricks SQL or Spark SQL for advanced analytical queries

Project & Stakeholder Coordination

  • Coordinate small to mid-sized analytics projects or workstreams
  • Partner with business stakeholders to clarify requirements
  • Provide data-driven insights to support strategic decisions

Required Qualifications

  • 5–10 years of experience in data analytics or BI roles
  • Strong experience with: data modeling (dimensional/star schema), SQL and relational databases, Power BI (DAX, Power Query, dataset modeling)
  • Hands-on experience with: Databricks, Delta Lake, notebook-based development
  • Strong Excel skills: Power Query, Power Pivot, advanced formulas
  • Ability to convert business questions into structured analytical outputs

Preferred Qualifications

  • Experience with: Power Apps, Power Automate
  • Exposure to Azure analytics tools (ADF, Synapse, Fabric)
  • Experience with Python or R for data transformation
  • Knowledge of: data governance, metadata management, data stewardship
  • Familiarity with Spark SQL or Databricks SQL

Technical Skills Summary

  • SQL (Azure SQL / SQL Server / PostgreSQL)
  • Power BI (DAX / M / Semantic Modeling)
  • Databricks / Delta Lake
  • Data Modeling (Star Schema / Lakehouse)
  • ETL / ELT Concepts
  • Excel (Advanced)
  • Azure Cloud Analytics
  • Spark SQL (Preferred)

Core Competencies

  • Strong analytical and critical thinking skills
  • Business translation capability (technical business)
  • Attention to data quality and validation
  • Project coordination and stakeholder management
  • Ability to work in cloud-based, modern data ecosystems