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Data Analytics Jobs in Atlanta, GA (NOW HIRING)

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Senior Data Engineer

Atlanta, GA · On-site

$50 - $55/hr

The successful candidate partners with business stakeholders, data analysts, application developers, and technology teams to deliver trusted, governed, and reusable data assets. Key Responsibilities:

... Analytics, Supply Chain, Industrial Engineering, or a related field * -0-2 years of experience in financial analysis, FP&A, data analytics, business analysis, procurement, or a related area ...

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 ...

New

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 ...

Showing results 21-40

Data Analytics information

See Atlanta, GA salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analytics in Atlanta, GA is $52.65, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $59.66 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
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:
What job categories do people searching Data Analytics jobs in Atlanta, GA look for? The top searched job categories for Data Analytics jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Analytics jobs? Cities near Atlanta, GA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Atlanta, GA as of August 2026, with employment types broken down into 74% Full Time, 2% Temporary, and 24% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $109,507 per year, or $52.6 per hour.

Senior Data Engineer

The E Group

Atlanta, GA • On-site

$50 - $55/hr

Contractor

Medical, Dental, Life, Retirement, PTO

Posted 6 days ago

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Job description

Immediate W2 contract position available in Atlanta, GA (Hybrid).

  • The position is listed as hybrid because team members come into the office as needed for meetings with business partners. Currently, we do not have sufficient office space for all workers to be onsite Monday through Thursday from 8:00 AM to 5:00 PM.


Estimated Duration: 3 years
Job Summary:
The Data Engineer is responsible for designing, building, and supporting scalable data platforms, data products, application integrations, and analytics solutions that enable business decision-making across Power Delivery. This role develops and maintains enterprise data pipelines, integrates operational systems with cloud-based lakehouse platforms, and supports both low-code and pro-code application development using Microsoft Power Platform, OutSystems, and Databricks.
The successful candidate partners with business stakeholders, data analysts, application developers, and technology teams to deliver trusted, governed, and reusable data assets.
Key Responsibilities:

  • Data Engineering & Integration
    • Design, build, and support enterprise data pipelines using ETL and ELT methodologies.
    • Develop scalable ingestion frameworks for structured, semi-structured, and streaming data.
    • Build and maintain Databricks notebooks, workflows, and data pipelines.
    • Ingest data from source systems using:
      • Azure Data Factory
      • Kafka
      • CDC technologies
      • APIs
      • Files and database sources
    • Implement data quality checks, monitoring, and exception handling.
    • Support Bronze, Silver, and Gold (Medallion) data architectures within the Databricks Lakehouse.
  • Databricks Development
    • Design and maintain Delta Lake tables and data products.
    • Develop solutions using:
      • Databricks
      • PySpark
      • Spark SQL
      • Python
      • SQL
    • Optimize lakehouse performance, scalability, and cost management.
    • Support data sharing, governance, and catalog management using Unity Catalog.
  • Application Development
    • Build and enhance business applications using:
      • Microsoft Power Apps
      • Power Automate
      • Microsoft Power Platform
      • OutSystems
    • Develop integrations between Databricks and business applications.
    • Partner with users to automate workflows and operational processes.
  • Data Governance & DevOps
    • Follow Company governance and security standards.
    • Implement CI/CD practices using GitHub and Azure DevOps.
    • Maintain documentation, data lineage, and metadata for enterprise data assets.
    • Participate in architecture reviews and solution design activities.

Required Qualifications
Education

  • Bachelor's degree in one of the following:
    • Computer Science
    • Information Systems
    • Data Analytics
    • Engineering
    • Related technical discipline

Experience

  • 3–7 years of experience in data engineering, analytics engineering, or software development.
  • Experience building enterprise data pipelines and integrations.
  • Experience working with cloud-based data platforms.

Required Technical Skills

  • Data Engineering
    • ETL / ELT design and development
    • Data ingestion frameworks
    • Data pipeline orchestration
    • Data warehousing concepts
    • Data Lake and Lakehouse architectures
    • Medallion architecture
  • Databricks
    • Databricks
    • Databricks Workflows
    • PySpark
    • Spark SQL
    • Delta Lake
    • Unity Catalog
    • Data Products
  • Cloud & Integration
    • Azure Data Factory
    • APIs
    • Kafka
    • CDC technologies
    • SQL Server
  • Development
    • Python
    • SQL
    • GitHub
    • Azure DevOps
  • Business Applications
    • Microsoft Power Apps
    • Power Automate
    • Microsoft Power Platform
    • OutSystems

Preferred Qualifications

  • Utility industry experience
  • Power Delivery domain knowledge
  • Experience supporting Transmission or Distribution Analytics
  • Real-time data streaming experience
  • Knowledge of AI/ML enablement on Databricks
  • Experience with Power BI integration and DirectQuery architectures


Company Description

We provide supplemental employees to the region's most sought after power projects. We credit our success to the commitment we show to our job applicants. E Group Recruiters are here to make sure your job search experience is the best it can be. Our recruiters are experts in knowing what the client manager is looking for in a resume, what bill rate the market will bear, and how to make your application stand out among the rest. Our personal touch continues even after we've found the perfect job for you. All full-time employees are eligible to pay for full health and retirement benefits including BC/BS health and dental insurance, life and disability insurances, and 401K with an immediately vested match is available. We have a dedicated team to guide you through these benefits.