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Industrial Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Vulcan Elements

Applied Machine Learning Engineer

Durham, NC

$110K - $132K/yr

Define data models that support operational queries, analytical workloads, and future AI and ML ... Familiarity with industrial data concepts -- historian data, process tags, OT/IT integration -- and ...

Siemens

Industrial Engineer - PACS

Wendell, NC · On-site

$57K - $77K/yr

We are looking for an Industrial Engineer for our new PACS facility. This position will be based in ... Proficiency using Microsoft Excel and engineering data analysis tools. Preferred Qualifications:

Siemens

Industrial Engineer - PACS

Wendell, NC · On-site

$57K - $77K/yr

We are looking for an Industrial Engineer for our new PACS facility. This position will be based in ... Proficiency using Microsoft Excel and engineering data analysis tools. Preferred Qualifications:

GFL Environmental

HR Data Coordinator

Raleigh, NC · On-site

$20.50 - $26.75/hr

We are officially hunting for our next HR Data Analyst in Raliegh-someone ready to bring fresh ... industrial services to businesses, communities and households, providing a consolidated and ...

GFL Environmental

HR Data Coordinator

Raleigh, NC

$20.50 - $26.75/hr

We are officially hunting for our next HR Data Analyst in Raliegh-someone ready to bring fresh ... industrial services to businesses, communities and households, providing a consolidated and ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC

$72K - $95K/yr

You will analyze data for trends in program delivery. Honeywell helps organizations solve the world ... We are a leading software-industrial company committed to introducing state of the art technology ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC

$72K - $95K/yr

You will analyze data for trends in program delivery. Honeywell helps organizations solve the world ... We are a leading software-industrial company committed to introducing state of the art technology ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC · On-site

$72K - $95K/yr

You will analyze data for trends in program delivery. Responsibilities KEY RESPONSIBILITIES ... We are a leading software-industrial company committed to introducing state of the art technology ...

Millennium Print Group

Industrial Systems Engineer

Raleigh, NC · On-site

$68K - $91K/yr

Analyze manufacturing scenarios to identify process improvements, validate engineering assumptions ... data-driven decision making. * Design and optimize material flow strategies involving conveyors ...

Siemens

Industrial Engineer

Knightdale, NC · On-site

$63K - $85K/yr

We are looking for an Industrial Engineer. This position will report into our new Knightdale, NC ... Proficiency with Microsoft Office; ability to analyze data, communicate findings, and present ...

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Showing results 1-20

All JobsIndustrial Data Analyst JobsIndustrial Data Analyst Jobs in Raleigh, NC

Industrial Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do industrial data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for industrial data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What does an industrial data analyst do?

An Industrial Data Analyst is responsible for collecting, interpreting, and leveraging data to improve processes within manufacturing and industrial environments. They analyze production data, equipment performance, and operational trends to identify inefficiencies and recommend improvements. Their role often involves using statistical software, database tools, and data visualization to help companies optimize productivity, reduce costs, and maintain quality standards. Collaboration with engineers, plant managers, and IT professionals is a key part of their work. Ultimately, Industrial Data Analysts play a crucial role in driving data-informed decisions in industrial settings.

What are some common challenges an industrial data analyst faces when working with manufacturing data?

Industrial Data Analysts often encounter challenges related to integrating data from diverse sources such as sensors, machines, and production systems, which may operate on different platforms and formats. Ensuring data accuracy and reliability can be difficult due to intermittent sensor failures or inconsistent data logging. Additionally, analysts must often balance the need for actionable insights with the complexities of large-scale data processing, all while collaborating closely with engineers and production managers to translate findings into operational improvements. Overcoming these challenges requires strong communication skills, technical expertise, and adaptability.

What is the difference between Industrial Data Analyst vs Manufacturing Data Analyst?

AspectIndustrial Data AnalystManufacturing Data Analyst
CredentialsBachelor's in Data Science, Industrial Engineering, or related fields; certifications like CAP or Six SigmaBachelor's in Data Analytics, Manufacturing Engineering, or related fields; similar certifications
Work EnvironmentFactories, industrial plants, supply chain settingsManufacturing plants, production lines, assembly facilities
Employer & Industry UsageIndustrial sectors, logistics, supply chain companiesManufacturing companies, automotive, electronics, consumer goods
Common Search & ComparisonYesYes

The Industrial Data Analyst and Manufacturing Data Analyst roles share similar credentials, work environments, and industry usage. The main difference lies in their focus areas: Industrial Data Analysts often work across broader industrial sectors and supply chains, while Manufacturing Data Analysts concentrate specifically on manufacturing processes and production efficiency. Both roles require strong analytical skills and familiarity with industrial or manufacturing systems.

What are the key skills and qualifications needed to thrive as an industrial data analyst, and why are they important?

To thrive as an Industrial Data Analyst, you need strong analytical skills, proficiency in statistical analysis, and a background in engineering, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and industrial data management systems is typically required, along with relevant certifications in data analytics. Strong communication, problem-solving abilities, and attention to detail help analysts translate complex data into actionable insights for stakeholders. These skills are vital for optimizing industrial processes, improving efficiency, and supporting data-driven decision-making in a competitive environment.
What are popular job titles related to Industrial Data Analyst jobs in Raleigh, NC? For Industrial Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Industrial Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Industrial Data Analyst jobs in Raleigh, NC are:
Industrial Data Analyst jobs near you
Infographic showing various Industrial Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Manufacturing Data Product Analyst

Deep Digital Solutions Group

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

At Deep DSG, we help global manufacturers unlock the full value of their operational data through modern industrial architecture, connected systems, and advanced analytics.
As we continue to expand our Data Enablement capabilities, we are seeking a Manufacturing Data Product Analyst to support the development and delivery of industrial data solutions that drive smarter, more connected manufacturing operations.
This role will focus on the design, configuration, and implementation of industrial data products, data pipelines, and integration solutions. Working closely with Data Enablement Leads, OT engineers, IT teams, and manufacturing stakeholders, you will help transform operational requirements into scalable data solutions that improve visibility, decision-making, and enterprise connectivity.
This is an excellent opportunity for someone with a strong technical foundation in manufacturing systems, industrial data platforms, and system integration who is looking to further develop their expertise in modern industrial data architectures, including Unified Namespace (UNS), DataOps, MQTT, and enterprise data platforms.
Requirements
  • Support the design, development, and deployment of Unified Namespace (UNS), Industrial DataOps, and industrial data solutions.
  • Assist in translating manufacturing and business requirements into scalable data models and integration architectures.
  • Develop, configure, and maintain industrial data products that support manufacturing, quality, maintenance, and business intelligence initiatives.
  • Design and support data pipelines that connect plant-floor systems with enterprise applications and analytics platforms.
  • Implement data transformation, contextualization, validation, and governance processes.
  • Configure and support industrial data brokers, messaging infrastructure, historians, and integration platforms.
  • Collaborate with Data Enablement Leads, manufacturing teams, OT engineers, IT personnel, and implementation partners on project delivery.
  • Contribute to the development and adoption of technical standards, best practices, and data governance frameworks.
  • Support testing, deployment, troubleshooting, and continuous improvement activities across Data Enablement initiatives.
  • Stay informed on emerging technologies and industry best practices within industrial data management and smart manufacturing.

  • Experience working with manufacturing systems, industrial automation, or industrial data solutions.
  • Knowledge of industrial data architectures, data modelling, and system integration principles.
  • Familiarity with Unified Namespace (UNS), Industrial DataOps, MQTT, or similar industrial data frameworks.
  • Experience developing or supporting data pipelines, data integration, or industrial software solutions.
  • Exposure to platforms such as HighByte Intelligence Hub, HiveMQ, AVEVA PI System (OSIsoft PI), or comparable technologies.
  • Understanding of manufacturing operations and OT/IT environments.
  • Familiarity with industrial middleware, historians, and enterprise integration platforms.
  • Strong analytical and problem-solving skills with the ability to work through technical challenges independently and as part of a team.
  • Excellent communication and collaboration skills.
  • Degree in Engineering, Computer Science, Information Technology, Data Engineering, or a related discipline, or equivalent practical experience.

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