Functional Analyst – IT/OT Data Platforms & Unified Namespace
Antwerp
Digital - Analysis
Reference number: 93245

Our client operates a highly automated manufacturing environment with advanced robotics, AI-enabled systems, and high-speed production lines. As part of a major transformation initiative, the organization is redesigning its IT/OT data architecture to support scalable analytics, AI applications, and real-time decision-making across equipment and departments.

The Functional Analyst plays a key role in translating business and operational needs into clear functional specifications for data pipelines, message brokers, and a Unified Namespace, acting as the bridge between stakeholders and technical teams.

Responsibilities:
  • Elicit, analyze, and document functional and non-functional requirements for IT/OT data platforms and pipelines.
  • Translate business needs into functional specifications, user stories, data flows, and acceptance criteria.
  • Define a Unified Namespace (UNS) data model, including naming conventions and hierarchical topic structures aligned with ISA-88/95.
  • Define data products, data contracts, and message payload structures for broker-based architectures.
  • Act as the primary interface between business stakeholders and development teams to ensure shared understanding.
  • Support target architecture definition in close collaboration with technical architects and engineers.
  • Prepare test plans, execute functional testing, and facilitate user acceptance testing.
  • Produce user documentation, system manuals, and provide training to end users.
  • Support post-implementation activities, including monitoring, issue analysis, and functional support.

What are we looking for?

  • You hold a Master’s degree in computer science, engineering, automation, or a related technical field.
  • You have a minimum of 5 years of experience in functional analysis or similar roles within complex IT or OT environments.
  • You bring a deep understanding of Unified Namespace (UNS) concepts and event-driven data architectures.
  • You have experience working with DataOps platforms used to extract, enrich, and publish industrial data.
  • You are familiar with message brokers, caching systems, and relational and non-relational databases.
  • You possess basic knowledge of network topologies and their impact on system design.
  • You have experience working in a manufacturing environment.
  • You are fluent in Dutch and English.

Nice to Haves

  • Experience in pharmaceutical or other highly regulated industries.
  • Hands-on exposure to industrial data platforms such as HighByte, Apache NiFi, Litmus, or similar tools.
  • Experience collaborating on AI, analytics, or advanced reporting initiatives.

What do we offer?

  • Work regime: Full-time
  • Location: Willebroek
  • Working model: Hybrid (up to 2 days remote)
  • Contract: open to both permanent employees and freelancers
  • Duration: start ASAP - 31/12/2026

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