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Manufacturing Data Analyst Jobs in Georgia (NOW HIRING)

High School diploma * 3-5 years Relevant Experience in a manufacturing environment * Experience analyzing data and developing reports and dashboards with PowerBI * Ability to read and understand ...

IT Data Analyst

Warner Robins, GA ยท On-site

$75K - $85K/yr

Knowledge of finance, inventory, procurement, warehouse, manufacturing, or supply-chain processes ... Room for professional growth in data analytics, business intelligence, data governance, and ...

Data Security Architect

Atlanta, GA ยท On-site

$61.25 - $78.75/hr

... analytics platforms, ERP systems, SaaS applications, and AI/ML workloads * Architect secure data flows between enterprise IT and OT/manufacturing systems (ERP, MES, SCADA,etc.) * Partner with ...

Utilize data analytics to identify losses and track impact. Partner with Manufacturing, Quality, Engineering, Maintenance, and Process Technology teams to align initiatives to meet business ...

Utilize data analytics to identify losses and track impact. Partner with Manufacturing, Quality, Engineering, Maintenance, and Process Technology teams to align initiatives to meet business ...

Utilize data analytics to identify losses and track impact. Partner with Manufacturing, Quality, Engineering, Maintenance, and Process Technology teams to align initiatives to meet business ...

Utilize data analytics to identify losses and track impact. Partner with Manufacturing, Quality, Engineering, Maintenance, and Process Technology teams to align initiatives to meet business ...

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Showing results 1-20

Manufacturing Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do manufacturing data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manufacturing data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manufacturing data analyst?

To thrive as a Manufacturing Data Analyst, you need strong analytical skills, proficiency in data management, and a background in industrial engineering, statistics, or a related field. Experience with data visualization tools (such as Power BI or Tableau), statistical analysis software, and manufacturing ERP/MES systems is highly valued, as are certifications like Six Sigma. Attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These capabilities are crucial for interpreting complex production data, improving manufacturing processes, and clearly conveying insights to cross-functional teams.

What are the typical daily responsibilities of a manufacturing data analyst?

Manufacturing Data Analysts typically spend their days collecting and interpreting data from manufacturing processes to identify trends, inefficiencies, or areas for improvement. They often collaborate with production teams and engineers to understand operational challenges, validate data sources, and implement process enhancements based on their findings. Daily tasks might include generating reports, monitoring real-time production metrics, developing dashboards, and supporting quality assurance efforts. This role is highly collaborative and plays a key part in driving continuous improvement and operational excellence within the manufacturing facility.

What is a manufacturing data analyst?

A Manufacturing Data Analyst collects, processes, and analyzes data from production processes to improve efficiency, quality, and cost-effectiveness. They work with large datasets, identify trends, and generate reports to support decision-making. Utilizing tools like SQL, Python, and BI software, they help optimize manufacturing workflows and reduce waste. Their role often involves collaborating with engineers, production managers, and IT teams to ensure data-driven improvements.

What are the most commonly searched types of Manufacturing Data Analyst jobs in Georgia? The most popular types of Manufacturing Data Analyst jobs in Georgia are:
What are popular job titles related to Manufacturing Data Analyst jobs in Georgia? For Manufacturing Data Analyst jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Manufacturing Data Analyst jobs? Cities in Georgia with the most Manufacturing Data Analyst job openings:
Infographic showing various Manufacturing Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Industry Subject Matter Expert (SME) - Wire & Cable Manufacturing

ADDSOURCE

Atlanta, GA โ€ข On-site

$70K - $94K/yr

Other

Posted 24 days ago


Job description

Job Title: Industry Subject Matter Expert (SME) Wire & Cable Manufacturing
Location: Atlanta, GA (Onsite)
Duration: Long Term
Experience
  • 10+ years of experience in Wire & Cable or Process Manufacturing.
  • Experience supporting Industry 4.0, Digital Transformation, Manufacturing Analytics, or AI-driven manufacturing initiatives.
  • Strong understanding of end-to-end manufacturing operations and production processes.
Core Skills
  • Wire Drawing, Stranding, Extrusion, Insulation, Jacketing, Spooling, Quality Testing
  • Production Planning, Process Optimization, Lean Manufacturing, Six Sigma
  • Manufacturing KPIs: OEE, MTBF, MTTR, Yield, Scrap, Throughput, Downtime
  • Root Cause Analysis, CAPA, Continuous Improvement
Technical Knowledge
  • MES, SCADA, OPC UA, OSI Preferred - MES, PI Historian PLC,
  • CMMS, Industrial IoT
  • Manufacturing Data & Analytics, Data Validation, KPI Definition
  • Familiarity with AI/ML use cases such as Predictive Maintenance, Quality Prediction, and Process Optimization
Key Responsibilities
  • Act as the business SME for manufacturing operations.
  • Define business requirements and manufacturing use cases.
  • Bridge plant operations and technology teams.
  • Validate manufacturing data, dashboards, and AI recommendations.
  • Support UAT, business process improvements, and value realization.
  • Drive stakeholder engagement and user adoption.