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Electrical Engineer Data Analyst Jobs in Atlanta, GA

This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data ...

Our engineers design all electrical sub-disciplines for diverse and unique projects across multiple ... flow analysis, short circuit analysis, and voltage drop calculations for optimal system ...

Electrical Engineer

Atlanta, GA ยท On-site

$79K - $113K/yr

Our engineers design all electrical sub-disciplines for diverse and unique projects across multiple ... flow analysis, short circuit analysis, and voltage drop calculations for optimal system ...

Electrical Engineer

Atlanta, GA ยท On-site

$79K - $113K/yr

Our engineers design all electrical sub-disciplines for diverse and unique projects across multiple ... flow analysis, short circuit analysis, and voltage drop calculations for optimal system ...

... analysis. * Professional Certifications: EIT or PE licensure in at least one state. At Koch ... Any compensation range provided for a role is an estimate determined by available market data. The ...

TRC Data Analyst

Atlanta, GA ยท On-site

$70 - $110/hr

Applied research, data analysis, data programming, data visualization, and data management, report development and presentation using R, SPSS, Stata, and Excel.Scholarly and applied research in ...

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Avionics Electrical Engineer

Atlanta, GA ยท On-site

$91K - $140K/yr

Design, analyze, integrate, and test avionics and electrical systems for flight vehicles, ground ... Support architecture trades across power distribution, instrumentation, controls, data acquisition ...

Avionics Electrical Engineer

Atlanta, GA ยท On-site

$91.80 - $140.25/hr

Design, analyze, integrate, and test avionics and electrical systems for flight vehicles, ground ... Support architecture trades across power distribution, instrumentation, controls, data acquisition ...

Avionics Electrical Engineer

Atlanta, GA ยท On-site

$91K - $140K/yr

Design, analyze, integrate, and test avionics and electrical systems for flight vehicles, ground ... Support architecture trades across power distribution, instrumentation, controls, data acquisition ...

Design, analyze, integrate, and test avionics and electrical systems for flight vehicles, ground ... Support architecture trades across power distribution, instrumentation, controls, data acquisition ...

Electrical Engineer

Atlanta, GA ยท On-site

$120 - $160/hr

... flash analysis, to the National Electrical Code (NFPA 70) and applicable Unified Facilities ... Active Professional Engineer (PE) license in electrical engineering, with the ability to seal and ...

Stable Kernel is a technology services firm and custom software developer building scalable ... Data Analysts report directly to our Principal Data Strategist. Core Responsibilities Include:

Stable Kernel is a technology services firm and custom software developer building scalable ... Data Analysts report directly to our Principal Data Strategist. Core Responsibilities Include:

Showing results 21-40

Electrical Engineer Data Analyst information

See Atlanta, GA salary details

$48.6K

$106.8K

$161.6K

How much do electrical engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for electrical engineer data analyst in Atlanta, GA is $106,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $126,900.00 per year, depending on experience, location, and employer.

What is an electrical engineer data analyst?

Electrical Engineer Data Analysts are professionals who combine expertise in electrical engineering with data analysis skills. They collect, process, and analyze data related to electrical systems, circuits, or equipment to improve performance, efficiency, and safety. Their work often involves using software tools to interpret large datasets, identify trends, and make recommendations for design improvements or troubleshooting. These analysts play a crucial role in research, product development, and system optimization in industries such as energy, manufacturing, and telecommunications.

What are the key skills and qualifications needed to thrive as an electrical engineer data analyst?

Thriving as an Electrical Engineer Data Analyst requires a solid background in electrical engineering principles, data analysis, and typically a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, Excel, and data visualization platforms, as well as knowledge of statistical analysis and machine learning, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help set top performers apart. These competencies are crucial for extracting meaningful insights from complex engineering data, driving innovation, and supporting informed technical decisions.

How do electrical engineer data analysts typically collaborate with cross-functional teams in a project setting?

Electrical Engineer Data Analysts often work closely with design engineers, project managers, and IT specialists to gather, analyze, and interpret data from electrical systems. They contribute insights that help optimize system performance, support troubleshooting, and inform decision-making processes. Regular meetings and data-sharing sessions are common, ensuring that findings are integrated into both the design and operational phases. This collaborative environment allows analysts to broaden their technical understanding and build valuable communication skills, which are essential for career growth.

What is the difference between Electrical Engineer Data Analyst vs Electrical Engineer?

AspectElectrical Engineer Data AnalystElectrical Engineer
Required CredentialsBachelor's in Electrical Engineering, Data Analysis skills, possibly certifications in data analyticsBachelor's or higher in Electrical Engineering, Professional Engineer (PE) license often preferred
Work EnvironmentData-focused roles in offices, labs, or project sites, combining engineering and data analysisDesign, testing, and maintenance in labs, manufacturing plants, or field sites
Industry UsageTech companies, utilities, consulting firms integrating data analysis with electrical engineeringPower, manufacturing, telecommunications, and infrastructure sectors
Common Search & ComparisonElectrical Engineer Data Analyst vs Electrical Engineer

The main difference lies in focus: Electrical Engineer Data Analysts combine electrical engineering knowledge with data analysis skills to interpret and optimize electrical systems, while Electrical Engineers primarily design, develop, and maintain electrical systems. Both roles require a strong technical background, but the Data Analyst role emphasizes data skills alongside engineering expertise.

Can an electrical engineer be a data analyst?

An electrical engineer can become a data analyst by developing skills in data analysis tools such as Excel, SQL, and programming languages like Python or R. Their strong analytical, problem-solving, and technical skills can be applied to data interpretation and visualization tasks common in data analysis roles.

What are popular job titles related to Electrical Engineer Data Analyst jobs in Atlanta, GA?

For Electrical Engineer Data Analyst jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Electrical Engineer Data Analyst jobs in Atlanta, GA look for?

The top searched job categories for Electrical Engineer Data Analyst jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Electrical Engineer Data Analyst jobs?

Cities near Atlanta, GA with the most Electrical Engineer Data Analyst job openings:

Infographic showing various Electrical Engineer Data Analyst job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $106,832 per year, or $51.4 per hour.

Full-time

Re-posted 2 days ago


Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML