Senior Business Data Analyst - Manufacturing Ops

Michael Page; England; On-site; GBP 83,000 - 120,000; Full time

Job summary

Michael Page is seeking a Senior Business Data Analyst based in Oxfordshire to drive data-driven decision making within the industrial and manufacturing sector. The role focuses on improving processes and delivering actionable insights for efficient operations.

The candidate will autonomously lead transformation initiatives, translate business needs into practical improvements across data, people, process and technology, and engage senior stakeholders to deliver end-to-end value.

Qualifications

• Experience in data analysis within the industrial or manufacturing sector.
• Proficiency in data visualization tools and reporting software.
• Ability to interpret complex data and present it clearly.
• Excellent communication and collaboration skills.

Responsibilities

• Lead analysis, design and optimisation of end-to-end business processes across multiple functions.
• Assess current-state processes and define target operating models to improve efficiency and governance.
• Translate business requirements into clear specifications for systems, automation, reporting and process improvements.
• Define data requirements, ownership, controls and reporting needs to support decision-making.
• Produce high-quality process maps, business requirements and governance documentation.
• Facilitate workshops and engage stakeholders to build consensus and drive delivery.

Skills

Analytical thinking

Data analysis

Data visualization

Stakeholder management

Communication

Data workflows

Ambiguity tolerance

Tools

Power BI

Tableau

Job description

Michael Page is seeking a Senior Business Data Analyst based in Oxfordshire to drive data-driven decision making within the industrial and manufacturing sector. The role focuses on improving processes and delivering actionable insights for efficient operations.

The candidate will autonomously lead transformation initiatives, translate business needs into practical improvements across data, people, process and technology, and engage senior stakeholders to deliver end-to-end value.