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Manufacturing Data Analytics Jobs in Florida (NOW HIRING)

Raytheon

Principal Manufacturing Engineer

Miami, FL · On-site

$69K - $89K/yr

Qualifications We Prefer Experience in manufacturing, product and/or test environment Experience with data analysis or Root Cause Corrective Action (RCCA) Experience with electronics/electrical ...

Raytheon

Principal Manufacturing Engineer

Orlando, FL

$68K - $87K/yr

Qualifications We Prefer Experience in manufacturing, product and/or test environment Experience with data analysis or Root Cause Corrective Action (RCCA) Experience with electronics/electrical ...

ProAmpac

Manager - FP&A (Manufacturing)

Orlando, FL · On-site

The FP&A Manager will lead forecasting, planning, financial modeling, and operational analysis efforts while translating complex financial and manufacturing data into actionable business insights.

ProAmpac

Manager - FP&A (Manufacturing)

Orlando, FL · On-site

The FP&A Manager will lead forecasting, planning, financial modeling, and operational analysis efforts while translating complex financial and manufacturing data into actionable business insights.

RTX

Senior Manufacturing Engineer (Onsite)

Seminole, FL · On-site

$86K - $165K/yr

Creating and maintaining Manufacturing Data Packages, which include detailed assembly instructions ... and corrective action analysis * The ability to obtain and maintain a US security clearance

RTX

Senior Manufacturing Engineer (Onsite)

Seminole, FL · On-site

$165K/yr

Creating and maintaining Manufacturing Data Packages, which include detailed assembly instructions ... and corrective action analysis * The ability to obtain and maintain a US security clearance

The LaSalle Group

Manufacturing Engineer

Sarasota, FL · On-site

$90K - $100K/yr

Analyze and improve manufacturing processes to increase efficiency, quality, safety, and throughput ... Familiarity with ERP systems and manufacturing data management tools. * Working knowledge of Lean ...

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Manufacturing Data Analytics information

What is manufacturing data analytics?

Manufacturing data analytics refers to the use of data analysis tools and techniques to collect, interpret, and leverage data generated during manufacturing processes. This approach helps companies identify inefficiencies, predict equipment failures, optimize production, and improve product quality. By analyzing data from sensors, machines, and other sources, manufacturers can make informed decisions that boost productivity and reduce costs. Overall, manufacturing data analytics is key for driving digital transformation and competitiveness in the manufacturing industry.

How do Manufacturing Data Analytics professionals typically collaborate with production and engineering teams to drive process improvements?

Manufacturing Data Analytics professionals work closely with production and engineering teams by analyzing process data, identifying inefficiencies, and presenting actionable insights. They often participate in cross-functional meetings, where they translate complex data findings into practical recommendations for process optimization, quality improvement, or cost reduction. Effective communication and a collaborative approach are essential, as these professionals must understand operational challenges and ensure data-driven solutions are feasible and aligned with business goals.

What are the key skills and qualifications needed to thrive in Manufacturing Data Analytics, and why are they important?

To thrive in Manufacturing Data Analytics, you need a strong background in statistics, data analysis, and manufacturing processes, often supported by a degree in engineering, data science, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages like Python or R, and ERP/MES systems is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are essential soft skills. These competencies enable professionals to drive process improvements, optimize production, and support data-driven decision-making in manufacturing environments.

What is the difference between Manufacturing Data Analytics vs Manufacturing Data Engineer?

AspectManufacturing Data AnalyticsManufacturing Data Engineer
Primary FocusAnalyzing manufacturing data to improve processes and decision-makingDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsData analysis, statistical skills, knowledge of manufacturing processes, often with certifications in data analytics or related fieldsData engineering, programming (Python, SQL), cloud platforms, database management
Work EnvironmentCollaborates with manufacturing teams, data teams, and managementWorks with IT, data teams, and software engineers to develop data systems
Industry UsageUsed across manufacturing sectors for process optimizationSupports manufacturing analytics by providing data infrastructure

Manufacturing Data Analytics focuses on interpreting manufacturing data to enhance operations, while Manufacturing Data Engineers develop and maintain the data systems that enable such analysis. Both roles are essential in manufacturing data-driven strategies but differ in their core responsibilities and skill sets.

What are popular job titles related to Manufacturing Data Analytics jobs in Florida? For Manufacturing Data Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analytics jobs in Florida look for? The top searched job categories for Manufacturing Data Analytics jobs in Florida are:
What cities in Florida are hiring for Manufacturing Data Analytics jobs? Cities in Florida with the most Manufacturing Data Analytics job openings:
Manufacturing Data Analytics jobs near you
Infographic showing various Manufacturing Data Analytics job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Production Data Analyst

Industrial Electric Manufacturing

Jacksonville, FL

Other

Posted 16 days ago

Job description

Job Summary:

The Production Data Analyst is responsible for collecting, organizing, and maintaining production data from various stages of the manufacturing process. This role ensures the accuracy and integrity of data used for tracking production performance, identifying trends, and supporting decision-making. The Production Data Analyst works closely with production leads and product leads to ensure data is recorded in a timely and accurate manner.

Key Responsibilities:

  • Collect and input production data into databases or spreadsheets, ensuring accuracy and consistency.
  • Support lean manufacturing initiatives trough data management including cycle times studies, line balancing, machine performance, material usage, downtime, and product output.
  • Maintain and update production logs, records, and databases with the most current information.
  • Ownership of production boards; sustaining up to date and relevant information to production areas.
  • Assist production by providing up to date data on production performance, maintenance logs, machine status, and work orders.
  • Generate basic reports and summaries for production teams, supervisors, and management to support daily operational decisions.
  • Assist in the analysis of data to identify trends, patterns, or inconsistencies that could impact production efficiency or product quality.
  • Work with production leads and supervisors to ensure all production data is captured accurately and reported in a timely manner.
  • 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.
  • Help maintain data integrity by identifying and correcting any errors in the data collection process.
  • Perform data entry and reporting tasks using ERP systems, production software, or Microsoft Excel.

 

Qualifications:

  • Bachelor's degree in engineering, Industrial Engineering, Data Analytics, Manufacturing Technology, or related technical field.
  • Minimum of 2 years of experience in a rapidly evolving manufacturing environment, or an equivalent combination of education, training, and experience.
  • Minimum of 2 years of hands-on and proven knowledge of Lean manufacturing principles and continuous improvement processes.
  • Strong data entry and organizational skills with attention to detail.
  • Meticulous attention to detail coupled with a dedication to data accuracy.
  • Robust analytical and problem-solving skills with ability to identify data discrepancies and resolve them.
  • Ability to work independently and prioritize tasks in a fast-paced environment.
  • Advanced proficiency in Microsoft Office 365 suite, with intermediate-level skills in MS Excel.
  • Strong skills in SQL, data manipulation, and database structures are an asset.
  • Familiarity with ERP or manufacturing data systems.
  • Ability to work with and interpret production data, including production metrics and machine performance indicators.
  • Proficient verbal and written communication skills.
  • Robust collaboration aptitude.

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