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Engineering Data Analyst Jobs in Florida (NOW HIRING)

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data ... GCP Professional Cloud Developer / Microsoft Azure Certified Developer

STEMBoard boasts a lively education and outreach program that teaches engineering to the historically underserved. Principal Duties and Responsibilities: * Data analysts will work with government ...

STEMBoard boasts a lively education and outreach program that teaches engineering to the historically underserved. Principal Duties and Responsibilities: * Data analysts will work with government ...

Job Title: Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an ... Data engineer: ETL process, data warehouse, Snowflake. Wide experience in collaboration with ...

Data Analyst

Orlando, FL · On-site

$120K/yr

We are seeking a detail-oriented and analytical Data Analyst to join our team in Orlando. You will ... Programming & Querying: Develop complex SQL queries and utilize ETL frameworks to extract ...

Lead process re-engineering initiatives across Middle Office to simplify workflows, eliminate ... Apply data analysis and process metrics to evaluate performance, identify bottlenecks, and measure ...

Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure, AWS, GCP) to support real-time and batch analytics. * Develop New Data Objects and Power BI ...

Proficiency in programming languages such as Python, R, or Scala for data analysis and machine learning. * Experience with data processing frameworks like Apache Spark, Hadoop, or Kubernetes. * Adept ...

Proficiency with reporting packages, databases, programming languages (e.g., XML, Javascript, or ET ... Minimum of 5 years of experience in a data analyst role or similar. * Proven abilities in ...

The analyst will work closely with the Data Product Owner, Data Engineering Lead, and various business teams to improve how data is accessed, maintained, and leveraged. This position plays a critical ...

Data Analyst Work Location: Tampa, FL Duration: 8+ Months Required Skills - SQL Developer Nice to have skills - Splunk,SQL Server Job summary • Over 4 years of experience in Data and strong ...

Senior Data Analyst

Tampa, FL · Hybrid

$104K - $130K/yr

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change!    At Philip Morris ... Work closely with data architect, data engineers to validate mapping logic, transformations, and ...

Partner with engineering and product teams to resolve data issues and enforce standards ... Qualifications * 3-5 years of experience in data analysis, data governance, or data stewardship.

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Engineering Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do engineering data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for engineering 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 an engineering data analyst?

An Engineering Data Analyst is a professional who uses data analysis techniques to support engineering projects and decision-making. They collect, clean, and interpret large sets of engineering data, often using specialized software tools. Their work helps identify trends, optimize processes, and improve the efficiency and quality of engineering solutions. They often collaborate with engineers and project managers to turn data insights into actionable recommendations.

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

To thrive as an Engineering Data Analyst, you need strong analytical skills, proficiency in mathematics and statistics, and a background in engineering or a related quantitative field. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, along with relevant certifications, is often required. Attention to detail, problem-solving ability, and effective communication help you interpret data and translate findings for technical and non-technical stakeholders. These skills are crucial for transforming complex engineering data into actionable insights that drive process improvements and innovation.

What are some common challenges faced by engineering data analysts when working with cross-functional teams?

Engineering Data Analysts often collaborate with teams such as software engineers, project managers, and product designers. A common challenge is bridging the gap between complex analytical findings and actionable insights for non-technical colleagues. Clear communication and the ability to translate data into practical recommendations are essential. Additionally, managing multiple priorities and ensuring data integrity across various sources can be demanding but is crucial for successful project outcomes.

What cities in Florida are hiring for Engineering Data Analyst jobs?

Cities in Florida with the most Engineering Data Analyst job openings:

Infographic showing various Engineering Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% 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

Full-time

Posted 26 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.  Reports to Director of Operations. 

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.