Analytics Manager

Analytics Manager London, Hybrid

Salary up to £89,000

This is a high-impact opportunity to shape how a large, customer-facing organisation uses data to drive commercial decisions. Sitting at the intersection of analytics, strategy, and insight, this role offers strong visibility across senior stakeholders and the chance to influence decision-making at scale through high-quality, data-driven storytelling.

The Company They are a well-established, data-rich organisation undergoing a major transformation, with a strong focus on improving customer outcomes and business performance through analytics. With multiple data sources across digital, retail, and finance, they are investing heavily in their analytics capability. The business fosters a collaborative environment where insights are central to strategic planning and execution.

The Role You will lead analytics delivery across a broad portfolio of business questions, partnering closely with commercial and insight teams. Key responsibilities include:

• Delivering analysis that combines multiple data sources to create clear, actionable narratives for stakeholders
• Leading regular analytics outputs including reporting, test and learn frameworks, and competitor analysis
• Developing and maintaining dashboards, improving efficiency through automation and self-service tools
• Supporting ad hoc deep dives into key business challenges and opportunities
• Enhancing analytics methodologies and ensuring consistency across teams
• Collaborating with stakeholders across digital, retail, finance, and data functions

Your Skills & Experience

• Strong commercial experience in analytics, covering both performance reporting and deep-dive insight
• Proven ability to translate analysis into clear recommendations that influence decision-making
• Advanced SQL skills, with experience working with large and complex datasets
• Experience with Power BI or similar BI tools for dashboard development and optimisation
• Working knowledge of Python or R for analysis, automation, or statistical evaluation
• Strong understanding of data models, KPI design, and data quality assurance
• Experience with analytical techniques such as segmentation, cohort analysis, and test-and-learn approaches

How to Apply If you are interested in applying your analytics expertise in a role with real business impact, please submit your CV to find out more.