technologies-expected :

about-project :

The Business Analyst will act as a bridge between business stakeholders and technical teams, driving the successful delivery of digital projects focused on improving operational efficiency, equipment effectiveness, and data-driven decision-making. Beyond serving the paper division, this role will act as a bridge to align data governance standards, processes, and best practices across related divisions such as Recycling and Packaging.

responsibilities :

Design end-to-end architecture for digital solutions integrating IT and OT systems (e.g., MES, SCADA, PLCs, ERP, IoT)
Lead the development and implementation of smart factory initiatives like predictive maintenance, quality analytics, and OEE improvement
Define and enforce standards for connectivity, cybersecurity, and interoperability between OT systems (e.g., DCS/PLC) and enterprise platforms
Collaborate with cross-functional teams — including production, maintenance, and IT — to align technical solutions with business outcomes
Evaluate and select appropriate digital platforms (e.g., edge computing, data historians, cloud IoT platforms) based on specific use cases
Ensure high system availability and performance in production-critical environments
Work with vendors and system integrators to implement solutions with minimal disruption
Maintain detailed documentation of architectures, integration schemas, and deployment plans
Monitor compliance with safety, cybersecurity, and data governance regulations
Support the deployment of manufacturing analytics and AI-based solutions to enable data-driven decision-making

requirements-expected :

Degree in one of the following: Automation Engineering, Electrical/Instrumentation Engineering, Computer Science / Information Technology, Mechatronics or Industrial Engineering (with strong exposure to automation or digital systems)
Fluency in English
IT/Architecture:
TOGAF, ArchiMate, or Zachman
AWS Solution Architect Certification
OT & Industrial Systems:
ISA-95 (Enterprise-Control System Integration)
ISA/IEC 62443 (Industrial Cybersecurity)
Familiarity with Agile/Scrum methodologies
Knowledge of Industry 4.0 concepts and enabling technologies (e.g., edge computing, digital twins, machine learning in production)
Travel required 20%
Experience with:
Aveva MES and PI experience
MES platforms (e.g., Optivison, GE Proficy)
SCADA and Historian systems (e.g., Aveva, Ignition)
IT/OT convergence platforms (e.g., PTC ThingWorx, Azure IoT Hub, Siemens MindSphere)
Working knowledge of:
Industrial communication protocols (e.g., OPC UA, MQTT, Modbus, Profibus, Ethernet/IP)
Programming/scripting languages (e.g., Python, SQL, c#)
Industrial control systems (e.g., PLCs, DCS)
Networking (firewalls, VLANs, switches, gateways in industrial environments)

benefits :

about-project :