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Full Time Manufacturing Data Analyst Jobs in Raleigh, NC

The Wilson Group KW23

Data Analyst

Raleigh, NC · On-site +1

This is a remote full-time post with lots of possibilities for advancement. By means of data exploration and analysis, we can go through large databases in search of correlations, anomalies, trends ...

WIRB-Copernicus Group (WCG)

Senior Data Analyst

Cary, NC · On-site

$80K - $101K/yr

KMR Group INC Job Type: Full Time - Regular Description and Requirements EMPLOYER: WCG Clinical, Inc. TITLE: Senior Data Analyst DUTIES: Produce business and market intelligence by querying data ...

Sarian, Inc.

Sr. Data Analyst

Cary, NC · On-site

$81K - $103K/yr

Role: Senior Data Analyst Location: Cary, NC - Fulltime Position Technical Skillset: Excellent knowledge in Cognos and other BI tool * Ownership and Proactive approach * Expert in Cognos Report ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

UL Solutions

Associate Business Data Analyst

Raleigh, NC · On-site

$60K - $75K/yr

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and ... We also provide full-time employees with paid time off including vacation (15 days), holiday ...

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All JobsManufacturing Data Analyst JobsFull Time Manufacturing Data Analyst JobsFull Time Manufacturing Data Analyst Jobs in Raleigh, NC

Full Time Manufacturing Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do full time manufacturing data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for full time manufacturing 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 are some common challenges faced by Full Time Manufacturing Data Analysts, and how can they be addressed?

Full Time Manufacturing Data Analysts often encounter challenges such as integrating data from multiple systems, ensuring data accuracy, and translating complex insights for non-technical stakeholders. Addressing these issues typically involves collaborating closely with IT and production teams to streamline data collection processes and developing user-friendly dashboards. Continuous learning about the latest data analysis tools and manufacturing technologies also helps analysts stay effective and add value to their organizations.

What are the key skills and qualifications needed to thrive as a Full Time Manufacturing Data Analyst, and why are they important?

To thrive as a Full Time Manufacturing Data Analyst, you need strong analytical skills, proficiency in data interpretation, a background in statistics or engineering, and typically a bachelor’s degree in a related field. Familiarity with data visualization tools (such as Power BI or Tableau), statistical software (like R or Python), and manufacturing systems (like ERP or MES) is essential. Attention to detail, problem-solving, and effective communication are important soft skills for conveying insights to cross-functional teams. These abilities ensure accurate data-driven decisions that optimize manufacturing processes and drive efficiency.

What does a Full Time Manufacturing Data Analyst do?

A Full Time Manufacturing Data Analyst is responsible for collecting, analyzing, and interpreting data related to manufacturing processes. They use statistical tools and software to identify trends, improve efficiency, and reduce costs within production environments. Their work often involves creating reports, dashboards, and visualizations to help management make data-driven decisions. Additionally, they collaborate with engineering and operations teams to implement process improvements based on their findings.
What are the most commonly searched types of Manufacturing Data Analyst jobs in Raleigh, NC? The most popular types of Manufacturing Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Manufacturing Data Analyst jobs? Cities near Raleigh, NC with the most Full Time Manufacturing Data Analyst job openings:
Full Time Manufacturing Data Analyst jobs near you
Infographic showing various Full Time Manufacturing Data Analyst job openings in Raleigh, NC as of July 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

Posted 18 days ago

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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