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.