Business Analytics Lead

Salary: £24,000 - 64,000 per year

Requirements:

• We are looking for proven experience leading data engineering, analytics, or business intelligence teams.
• We require strong understanding of industrial data environments and operational technology (OT) systems.
• We value experience working with platforms such as AVEVA PI, industrial historians, or similar manufacturing data systems.
• We need demonstrated expertise in building data pipelines, data models, and enterprise analytics solutions.
• We expect strong knowledge of data governance, metadata management, data quality, and data architecture best practices.
• We require experience integrating manufacturing, ERP, maintenance, quality, and other business systems.
• We are looking for excellent stakeholder management and communication skills, with the ability to influence at all levels of the organisation.
• We value a proactive, problem-solving mindset with a focus on delivering tangible business outcomes.

Responsibilities:

• We will lead, mentor, and develop a team of Data Engineers, setting priorities and ensuring high-quality delivery.
• We will design, build, and maintain scalable OT-to-business data architectures and ingestion pipelines, supporting both real-time and batch processing.
• We will integrate operational technology platforms, including AVEVA PI, with ERP, maintenance, quality, and other enterprise systems.
• We will develop and maintain standardised, granular datasets and data models that enable operational reporting, advanced analytics, and business intelligence.
• We will establish and champion data governance best practices, including data quality, lineage, metadata management, and documentation.
• We will create reusable analytics assets, KPI frameworks, and self-service data products that empower site and corporate teams.
• We will partner with Operations, Asset Management, IT, and Business Leadership teams to identify opportunities, prioritise initiatives, and deliver impactful analytics solutions.
• We will implement monitoring, automation, and CI/CD practices to ensure reliable and efficient data workflows.
• We will translate complex data into clear insights, dashboards, and recommendations that support operational and strategic decision-making.

Technologies:

• Business Intelligence
• CI/CD
• ERP
• Support

More:

We are a large-scale industrial organisation focused on driving data-driven manufacturing excellence across our Paper Division. This is a unique opportunity to shape the future of manufacturing analytics at the intersection of operations, technology, and business strategy. You will lead a small but highly capable data engineering team and help deliver solutions that improve performance, optimise asset utilisation, and support critical business priorities. We offer the chance to work on meaningful transformation initiatives that directly influence productivity and long-term growth.

last updated 32 week of 2026