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Senior Business Intelligence Manager

Pearson Whiffin Recruitment Group
Gillingham, United Kingdom
2 weeks ago
£70,000 – £75,000 pa

Salary

£70,000 – £75,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Posted
15 May 2026 (2 weeks ago)
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Senior Business Intelligence Manager

We are seeking an experienced and strategic Senior Business Intelligence Manager to lead our BI function and drive data-led decision making across the organisation. This is a leadership role suited to someone who combines strong technical expertise with the ability to manage and inspire high-performing data teams.

You will be responsible for shaping the BI strategy, ensuring high-quality data governance, and delivering actionable insights that support business growth and operational excellence.

Key Responsibilities

  • Lead, mentor, and develop a team of BI developers and analysts
  • Define and execute the Business Intelligence roadmap and data strategy
  • Design and oversee scalable data models and reporting frameworks
  • Deliver advanced dashboards and reports using Power BI
  • Write and optimise complex SQL queries for analytics and reporting
  • Ensure compliance with GDPR and best-practice data governance standards
  • Oversee and support implementation of MDM (Master Data Management) tools
  • Work closely with stakeholders across Finance, Operations, IT, and Commercial teams
  • Collaborate on data integration initiatives, including exposure to SAP environments
  • Ensure data quality, integrity, and consistency across systems

Required Skills & Experience

  • Proven experience in a Senior BI / BI Manager / Data Analytics leadership role
  • Strong hands-on expertise in Power BI (data modelling, DAX, performance optimisation)
  • Advanced SQL skills
  • Demonstrated experience leading and developing technical teams
  • Strong understanding of GDPR and data governance frameworks
  • Experience with MDM tools and data management best practices
  • Exposure to SAP data structures and integration
  • Excellent data modelling skills (conceptual, logical, physical modelling)
  • Strong stakeholder management and communication skills

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