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Manufacturing Data Analytics Jobs in Virginia (NOW HIRING)

Riverside Health System Non-Providers

Works with data aggregators, wholesalers, drug manufacturers and third-party payers to manage and oversee compliance with contractual terms and conditions for data analytics and reporting.

Riverside

Works with data aggregators, wholesalers, drug manufacturers and third-party payers to manage and oversee compliance with contractual terms and conditions for data analytics and reporting.

Howmet Aerospace

Manufacturing Analyst

Hampton, VA

Provide and coordinate data analytics training. * Develop and test new analytic approaches and applications within Howmet. * Support yield improvement activities with advanced data analytics at ...

Howmet Aerospace

Manufacturing Analyst

Hampton, VA

Provide and coordinate data analytics training. * Develop and test new analytic approaches and applications within Howmet. * Support yield improvement activities with advanced data analytics at ...

Purple Drive Technologies

Data Architect

Richmond, VA · On-site

$63 - $81.25/hr

... manufacturing, and supply chain domains. This role focuses on designing scalable, high-performance data and AI platforms that enable advanced analytics, machine learning, and generative AI solutions ...

Howmet Aerospace

Manufacturing Analyst

Hampton, VA

Provide and coordinate data analytics training. * Develop and test new analytic approaches and applications within Howmet. * Support yield improvement activities with advanced data analytics at ...

Howmet

Manufacturing Analyst

Hampton, VA

Provide and coordinate data analytics training. * Develop and test new analytic approaches and applications within Howmet. * Support yield improvement activities with advanced data analytics at ...

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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 Virginia? For Manufacturing Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analytics jobs in Virginia look for? The top searched job categories for Manufacturing Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Manufacturing Data Analytics jobs? Cities in Virginia with the most Manufacturing Data Analytics job openings:
Manufacturing Data Analytics jobs near you

Manufacturing Engineer

Succession Planning for Railroads Investing in the Next Generation LLC

Chesapeake, VA

$70K - $91K/yr

Full-time

Posted 23 days ago

Job description

Results-driven Manufacturing Engineer with experience optimizing production systems, improving operational efficiency, and implementing scalable manufacturing processes across multi-functional production environments. Skilled in workflow analysis, lean manufacturing, process standardization, ERP integration, and continuous improvement initiatives. Adept at bridging engineering, production, quality, and operations through data-driven decision making, technical documentation, and cross-functional collaboration.

Core Responsibilities
  • Analyze manufacturing processes, production schedules, workflow constraints, and operational data to identify opportunities for increased efficiency, throughput, and cost reduction.
  • Design and optimize manufacturing layouts, material flow strategies, and equipment placement to improve productivity, ergonomics, and safety.
  • Develop and implement manufacturing methods, tooling concepts, and process improvements for components, subassemblies, and final assemblies.
  • Create and maintain routings, bills of materials (BOMs), inspection procedures, and technical documentation aligned with operational standards and engineering requirements.
  • Lead manufacturing reviews for cost overruns, tooling capability, machine capacity, and production readiness to support operational decision-making.
  • Evaluate labor utilization, material consumption, and production metrics to support forecasting, scheduling, and continuous improvement initiatives.
  • Support engineering change implementation and ensure process compliance with quality standards, regulatory requirements, and safety protocols.
  • Coordinate with maintenance, production, quality, and engineering teams to sustain equipment reliability and manufacturing continuity.
  • Conduct root cause analysis and corrective action planning related to process inefficiencies, quality deviations, and manufacturing constraints.
  • Drive project ownership from concept development through implementation while aligning manufacturing objectives with corporate operational strategies.
Technical Competencies
  • Lean Manufacturing & Continuous Improvement
  • Manufacturing Process Optimization
  • Workflow & Facility Layout Design
  • Root Cause Analysis (RCA)
  • ERP Systems & Manufacturing Data Management
  • CAD/CAM Software
  • Production Routing & BOM Management
  • Technical Documentation & Work Instructions
  • Labor Analysis & Cost Reduction
  • Process Validation & Standardization
  • Safety & Regulatory Compliance
  • Cross-Functional Project Leadership
Software & Systems
  • Infor LN ERP
  • Microsoft Office Suite
  • SharePoint
  • CAD/CAM Applications
  • Manufacturing Data Analysis Tools
  • ADP Workforce Systems
Bonus Opportunities Available

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.