PSD Group
Performance Insights & Reporting Manager
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Operational Performance, Performance Insight, Performance Reporting, Digital Commerce
£300/day Hybrid working in Surrey 12 month contract
This role forms a critical part of a European digital commerce team covering six core workstreams: Content, CRO (Conversion Rate Optimisation), Publishing, Tagging & Cookie Management, Merchandising, and L1 & Operations.
The Performance Insights & Reporting Manager owns the operational performance reporting across these workstreams — defining what performance reporting must answer, validating the insights it produces before they are distributed, governing the metrics and calculation logic behind the numbers, and continuously evolving reporting as business needs change. It is a cross-functional role that collaborates across operational, governance and analytics teams, and requires the ability to communicate, present and report performance findings to senior and C-level leadership with clarity and confidence. The post-holder owns the requirements, quality and direction of performance reporting end to end — from defining reporting needs, metric definitions and calculation logic, to validating insights, to driving a continuous improvement roadmap. Success comes from the clarity of reporting requirements, the reliability of validated insights, and the pace of continuous improvement.
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What we need for this role
To be successful, you will possess the following skills and attributes: Experience – minimum 5 years in project / programme management and at least 3 years in analytics, performance reporting or business intelligence (experience may overlap), ideally gained in a multi-market or digital operations environment. Operational data analytics expertise – strong experience analysing operational datasets such as ticket volumes, SLA performance, backlog trends and delivery metrics to identify meaningful performance insights. Project-management / PMO domain understanding – understands ticket lifecycle, SLA, workstreams and operational governance well enough to derive the right reporting questions from business goals. Insight generation & root-cause analysis – moves beyond raw data to actionable insights, using structured analysis to identify underlying causes of performance issues. Business problem framing & requirements translation – understands business needs and translates them into analytical questions and structured, automatable specifications. Analytical validation & quality assurance – critically reviews analytical and AI-generated output and reliably.
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