Manufacturing Data Product Analyst

Manufacturing Data Product Analyst Deep DSG Raleigh, NC Job Details Full-time 16 hours ago Qualifications Data model design Systems integration Software engineering Data Integration (Data management) Business intelligence Data modeling projects Data validation techniques Enterprise software Software implementation System design Enterprise solutions implementation Scalable systems Enterprise software support Schema design Enterprise software systems development Data quality management Data Architecture Design (Architecture design skills) Product development Continuous improvement System testing Requirements analysis Integration Platforms (Enterprise solutions) Scalability Collaboration with manufacturing teams System deployment Business requirements Systems architecture experience within manufacturing Cross-functional communication Full 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, Hive

MQ, 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.