Business Analytics Lead

Company: DS SMITH PACKAGING LIMITED
Apply for the Business Analytics Lead
Location: Sittingbourne
Job Description:

Business Analytics LeadDrive Data-Driven Manufacturing ExcellenceWe 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 and strategic decision-making.

What We’re Looking For

  • Proven experience leading data engineering, analytics, or business intelligence teams.
  • Strong understanding of industrial data environments and operational technology (OT) systems.
  • 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.
  • Strong knowledge of data governance, metadata management, data quality, and data architecture best practices.
  • Experience integrating manufacturing, ERP, maintenance, quality, and other business systems.
  • Excellent stakeholder management and communication skills, with the ability to influence at all levels of the organisation.
  • A proactive, problem-solving mindset with a focus on delivering tangible business outcomes.

Why Join Us?This role offers a unique opportunity to shape the future of manufacturing analytics within a large-scale industrial environment. You’ll work at the intersection of operations, technology, and business strategy, delivering solutions that directly influence performance, productivity, and long-term growth.If you’re passionate about turning complex operational data into meaningful business value and leading teams that drive transformation, we’d love to hear from you#LI-SP

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Posted: May 29th, 2026