Data & Analytics Manager

A market leading organisation is seeking a personable and analytical Data & Analytics Manager to join its team. Please note, this role is fully office based, 5 days per week.

This is a business-critical position offering the opportunity to shape how the organisation uses data to drive performance, improve decision-making, and support future growth. It will suit someone who enjoys transforming complex information into meaningful insights and helping stakeholders make smarter, evidence-based decisions.

You will take ownership of the organisation’s business intelligence and reporting landscape, ensuring information is accurate, accessible, and effectively managed while identifying opportunities to enhance analytics capabilities and reporting processes. Working closely with teams across the business, you will gain a strong understanding of operational and strategic objectives and deliver insights that improve efficiency, performance, and business outcomes.

Alongside the day-to-day management of reporting, analytics, and data quality initiatives, you will contribute to wider projects aimed at improving the use of data across the organisation. You will also act as a trusted point of contact for stakeholders, helping teams maximise the value of data through effective reporting, analysis, and performance measurement.

To be considered for this role, you must possess a strong blend of technical capability, commercial awareness, and excellent interpersonal skills. You should be comfortable working with large datasets, developing dashboards and reports, and presenting insights to both technical and non-technical audiences. Strong analytical skills, attention to detail, and a proactive approach to problem-solving are essential.

This role would suit an experienced BI, analytics, or reporting professional who enjoys variety, collaboration, and having a genuine impact on business performance. Previous experience with business intelligence, analytics, reporting, and data management is highly desirable, alongside exposure to tools such as SQL, Power BI, Excel, or similar analytics platforms.