An exciting opportunity has arisen for a Customer Analytics Manager to join a growing analytics function at a well-established consumer-focused business. This role sits within a high-profile transformation programme, giving you the opportunity to shape how customer insight is used across the organisation. You will combine strategic thinking with hands-on analytics to influence key commercial decisions and help drive customer-centric growth.

The Company

They are a retail business with a significant multi-channel presence and millions of active customers. Analytics plays a central role in decision-making, with investment across customer analytics, data science, marketing analytics, digital analytics, and data platforms. As part of an expanding team, you will help develop a centralised customer insight capability that supports commercial strategy across the organisation. This is an environment that values collaboration, innovation, and evidence-based decision-making.

The Role

• Own the customer analytics agenda across a strategic business platform, delivering insights into customer behaviour, loyalty, retention, profitability, and lifetime value.
• Lead customer reporting and deep-dive analysis, turning complex datasets into clear and actionable recommendations for senior stakeholders.
• Apply advanced analytical techniques including segmentation, clustering, predictive modelling, regression analysis, and campaign measurement.
• Develop customer profiles and behavioural segments to identify growth opportunities, risks, and emerging trends.
• Partner with stakeholders across multiple business functions to influence strategy and support data-driven decision-making.
• Translate analytical findings into compelling customer stories that connect insight to revenue, retention, customer experience, and commercial performance.
• Support the continued development of analytics capabilities within a growing and ambitious team.

Your Skills & Experience

• Strong commercial experience in customer analytics, customer insight, or CRM analytics.
• Advanced SQL skills and experience working with large, complex datasets.
• Strong data visualisation experience using tools such as Power BI, Tableau, or similar platforms.
• Experience applying advanced analytics techniques including segmentation, clustering, predictive modelling, regression analysis, and campaign measurement.
• Ability to communicate complex analytical findings to non-technical stakeholders.
• Experience influencing senior stakeholders and driving business impact through analytics.
• Python or PySpark experience would be beneficial.
• Previous mentoring or leadership experience is advantageous.