Data Analytics Manager

Reports to: Head of Data, Analytics & AI

Direct Reports: Data Analysts (2)

Location: Bedfordshire (1 day per week in office)

Contract: Permanent, Full-Time

Stanton House is partnering with a private equity-backed business currently undergoing a significant transformation programme and looking to appoint an Analytics Manager to lead the development and evolution of its enterprise analytics capability.

This is a hands-on leadership role responsible for the design, development and continuous improvement of the organisation's analytics and business intelligence capability. You will own the delivery of reporting, dashboards and analytical products, ensuring solutions are accurate, scalable, performant and commercially relevant across the business.

Working at the intersection of data, technology and commercial decision-making, you will combine technical leadership with active involvement in dashboard development, advanced analysis, platform administration and analytics delivery, while building and mentoring a high-performing team. A key focus of the role will be driving the adoption of self-service analytics and AI-enabled analytical practices to improve speed to insight, productivity and business engagement while ensuring robust governance, security and control frameworks.

• Lead, mentor and develop a team of Data Analysts, managing priorities, workloads and delivery.
• Provide hands-on analytical leadership and establish best practices across reporting, dashboard development and data analysis.
• Support performance management, development planning and career progression.
• Foster a culture of collaboration, continuous improvement, peer review and knowledge sharing.
• Champion the effective and responsible use of AI-enabled analytical tools.

• Own the organisation's analytics and reporting environment, ensuring reliability, usability and scalability.
• Manage platform administration, including user access, permissions, licensing, capacity planning and governance.
• Oversee semantic models, certified data sources and metric definitions to ensure consistency and trust in reporting.
• Establish standards for dashboard design, accessibility, performance, documentation and visual best practice.
• Lead testing, certification and release processes for reporting products.
• Drive dashboard optimisation and ensure reporting assets remain performant and user-friendly.
• Design and deliver strategic reporting and analytics solutions from requirements gathering through to production deployment.
• Develop and maintain a self-service analytics framework that empowers users while preserving governance and data integrity.
• Partner with data engineering and technology teams to ensure reliable and trusted data assets underpin analytics delivery.

• Build strong relationships with senior stakeholders across Finance, Commercial, Operations, HR and Corporate Functions.
• Translate complex business challenges into analytical solutions and actionable insights.
• Develop a strong understanding of business performance drivers and strategic priorities.
• Identify trends, risks, opportunities and performance improvements through proactive analysis.
• Prioritise analytics initiatives based on business value, effort and organisational impact.
• Present findings, recommendations and business cases confidently to senior leadership.
• Drive adoption of reporting and analytics tools through stakeholder engagement, training and education.
• Develop and maintain a strategic roadmap for analytics maturity and capability growth.
• Drive the practical adoption of AI technologies across the analytics lifecycle.
• Leverage AI tools to improve analytical workflows, documentation, report…