Drive Transformation
Manufacturing
BusinessAnalyticsLead
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Analytics Lead at Drive Transformation. Skills: Data Engineering, Analytics, Business Intelligence, Team Leadership. Lead, mentor, and develop team. Design, build, and maintain data architectures”
Industry & Context.
A proactive, problem-solving mindset; focus on delivering tangible business outcomes
What They're Looking For.
Must Have
Proven experience leading data engineering, analytics, or business intelligence teams, Experience working with platforms such as AVEVA PI, industrial historians, or similar manufacturing data systems, Demonstrated expertise in building data pipelines, data models, and enterprise analytics solutions, Experience integrating manufacturing, ERP, maintenance, quality, and other business systems, Excellent stakeholder management and communication skills
Nice to Have
understanding of industrial data environments and operational technology (OT) systems, knowledge of data governance, metadata management, data quality, and data architecture best practices, A proactive, problem-solving mindset
What You'll Do.
and maintain data architectures
Integrate operational technology platforms
Develop and maintain datasets and data models
Establish and champion data governance
Create reusable analytics assets
Partner with leadership teams
Translate complex data into clear insights
How You'll Work.
Team & Collaboration
Partner with Operations, Asset Management, IT, and Business Leadership teams; Excellent stakeholder management and communication skills
Communication Scope
Excellent stakeholder management and communication skills; ability to influence at all levels; Translate complex data into clear insights, dashboards, and recommendations
Process & Methodology
Setting priorities, Prioritise initiatives
Full Job Description
**Business Analytics Lead** **Drive Data-Driven Manufacturing Excellence** We are looking for a Business Analytics Lead to play a pivotal role in transforming operational data into actionable business insight across our Paper Division. Leading a small but highly capable data engineering team, you will build and develop the OT-to-business data infrastructure that underpins operational analytics, advanced analytics, and strategic decision-making. By connecting manufacturing systems with business platforms, you’ll help unlock performance improvements, optimise asset utilisation, and support critical 80/20 business priorities. This is an exciting opportunity for a data leader who combines technical expertise with strong stakeholder engagement and a passion for delivering measurable business value. **What You’ll Be Doing** * Lead, mentor, and develop a team of Data Engineers, setting priorities and ensuring high-quality delivery. * Design, build, and maintain scalable OT-to-business data architectures and ingestion pipelines, supporting both real-time and batch processing. * Integrate operational technology platforms, including AVEVA PI, with ERP, maintenance, quality, and other enterprise systems. * Develop and maintain standardised, granular datasets and data models that enable operational reporting, advanced analytics, and business intelligence. * Establish and champion data governance best practices, including data quality, lineage, metadata management, and documentation. * Create reusable analytics assets, KPI frameworks, and self-service data products that empower site and corporate teams. * Partner with Operations, Asset Management, IT, and Business Leadership teams to identify opportunities, prioritise initiatives, and deliver impactful analytics solutions. * Implement monitoring, automation, and CI/CD practices to ensure reliable and efficient data workflows. * Translate complex data into clear insights, dashboards, and recommendations that support operational a
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