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Manufacturing Data Analyst Jobs in Florida (NOW HIRING)

Manufacturing Engineer

Orlando, FL ยท On-site

$68K - $87K/yr

Collect and analyze manufacturing data to identify process improvement opportunities. * Assist with deviation investigations, CAPA activities, and change control documentation. * Ensure compliance ...

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Manufacturing Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do manufacturing data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for manufacturing data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Manufacturing Data Analyst jobs in Florida?

The most popular types of Manufacturing Data Analyst jobs in Florida are:

What are popular job titles related to Manufacturing Data Analyst jobs in Florida?

For Manufacturing Data Analyst jobs in Florida, the most frequently searched job titles are:

Infographic showing various Manufacturing Data Analyst job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Fabrication Data Analyst

Jacksonville, FL โ€ข On-site

Full-time

Posted 28 days ago


Job description

Position Summary:

The Fabrication Data Analyst plays a critical role in enabling data-driven decision making across the Sheet Metal, Busbar, and Powder Coating operations. This role owns the collection, analysis, and visualization of fabrication performance data, including OEE, utilization, scrap, labor efficiency, and capacity. The analyst partners closely with the Director of Fabrication, Operations Managers, and the Fabrication Engineering team to support process implementation, standardization, and control. This role ensures that MES and OEE data are translated into timely, actionable insights that drive throughput, cost reduction, and continuous improvement.ย  Reports to Director of Operations.ย 

Key Responsibilities:

  • Collect, clean, validate, and analyze fabrication data from OEE, MES, ERP (SyteLine), and manual sources to generate accurate performance insights.
  • Develop and maintain dashboards and reports using Power BI, Tableau, or similar tools, providing daily, weekly, and monthly visibility into production performance.
  • Monitor and evaluate KPIs including OEE, utilization, scrap, throughput, labor efficiency, capacity, and schedule attainment.
  • Support the Fabrication Engineering Manager and Operations Managers in identifying bottlenecks, trends, and systemic issues.
  • Provide detailed root-cause data analysis for downtime, quality issues, delays, or process instability.
  • Participate in process implementation and process control activities, including validation of standard work, cycle times, routings, load balancing, and line balancing.
  • Assist with configuration and optimization of MES and OEE systems to ensure accurate data capture and alignment with real workflows.
  • Support the rollout of new process standards, automation cells, and engineering changes by providing required data analysis and control tools.
  • Collaborate with Planning on capacity modeling, production forecasting, and scenario simulations for load balancing across buildings.
  • Create automated reporting systems and alert mechanisms to flag performance risks to Operations Managers and the Director of Fabrication.
  • Contribute to continuous improvement projects, supporting CI teams with data modeling, statistical analysis, and project tracking.
  • Ensure data integrity, documentation consistency, and alignment with company-wide reporting standards.

Qualifications:

  • Bachelor's degree in engineering, Industrial Engineering, Data Analytics, Manufacturing Technology, or related technical field.
  • 2-5 years of experience in manufacturing analytics, operations analysis, industrial engineering, or similar role.
  • Strong experience with ERP systems (Infor SyteLine preferred).
  • Advanced proficiency in Power BI, Tableau, Excel, and data visualization tools.
  • Strong skills in SQL, data manipulation, and database structures are an asset.
  • Understanding of manufacturing processes, preferably in metal fabrication (sheet metal, busbar, powder coating).
  • Familiarity with OEE, MES, and machine monitoring systems is preferred.
  • Experience supporting process implementation, process control, or standard work documentation is an asset.
  • Strong analytical skills with the ability to translate data into clear recommendations and actions.
  • Excellent communication skills and the ability to influence operational leaders through data storytelling.