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Manufacturing Data Analytics Jobs in Florida (NOW HIRING)

RTX

Engineer II, Manufacturing Engineer (Onsite)

Seminole, FL · On-site

$68K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct technical and manufacturing data verifications, hardware verification, and safety/ergonomic ... analysis. Qualifications We Prefer * Experience with CAD solid modeling tools. * Experience with ...

New

CIG COMPANIES SERVICES

Head of Data & AI

Orlando, FL · On-site

This leader oversees diverse enterprise data platforms, advanced analytics, and AI/ML solutions spanning manufacturing, airline operations, hospitality, financial services, and solar field ...

Raytheon

Sr. Manufacturing Development Engineer

Orlando, FL

$85K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analysis to ensure factory readiness and improve product producibility Your main responsibilities will include: * Developing Manufacturing Data Packages (MDPs) including assembly instructions ...

Raytheon

Sr. Manufacturing Development Engineer

Miami, FL

$87K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analysis to ensure factory readiness and improve product producibility Your main responsibilities will include: * Developing Manufacturing Data Packages (MDPs) including assembly instructions ...

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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 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 August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% In-person job distribution.

Cost/Price Analyst (Manufacturing/Aerospace )

22nd Century Technologies, Inc. (TSCTI)

Doral, FL • On-site

$30 - $42/hr

Other

Posted 5 days ago

Job description

Job Title: Cost/Price Analyst (Manufacturing/Aerospace ) Duration: 18+ Months (Temp to hire) Payrate: $30- $42/hour on w2 Shift: 1st shift Summary: The Pricing Analyst I is an entry-level pricing role with primary duties involve proactively analyzing and making recommendations considering customer value-based marketing, competitive markets, and company costs affecting the business plans and profitability across the division, incorporating program aspects to support decision-making processes that will impact our long-term future. Design and implement continuous improvement techniques and methods to internal processes and systems to eliminate waste and improve process. Assist in analyzing product markets determining the ceiling and floor prices of products. Evaluate cause and effect with pricing, volume, cost, competition, distribution and segmentation. Recommend appropriate levels. Assist divisions in determining appropriate list prices, standard discounts and rebates and managing any restructuring, updating, communication and publication of price increases. Analyze the exception pricing process by recommending guidelines, authority levels and maintaining a disciplined and structured approach to exception pricing. Required Qualification: Bachelor’s degree in Business, Finance, Economics, Engineering, Data Analytics, or a related field. Strong analytical and quantitative skills. Excellent PC skills with proficiency with Microsoft Excel and Access. Excellent written, verbal and presentation skills. Project management skills with sales/marketing experience a plus. General understanding of manufacturing processes, practices and cost accounting.

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