IT & Software

Analytics Manager

Marks & Spencer

Remote · Nationwide · United Kingdom

Overview

In this role, you will lead and grow a high-performing analytics team within a major retailer, driving impact through data-led decisions. You’ll partner with cross-functional leaders to prioritise opportunities and deliver scalable analytics and data products. You will champion AI, automation and self-service analytics to boost decision-making and productivity, while upholding strong governance and storytelling. This position offers a strategic opportunity to shape analytics at scale, contributing to customer, colleague and operational outcomes.

Pay / Benefits
  • 20% colleague discount after probation
  • competitive holiday entitlement with option to buy extra
  • discretionary bonus schemes
  • Defined Contribution Pension Scheme and Life Assurance
  • welcoming induction and training programmes
  • wellbeing support including 24/7 Virtual GP and PAM Assist
Responsibilities
  • Lead, coach and develop an analytics team with an inclusive culture focused on impact
  • Partner with Retail and Central Store Operations leaders to identify opportunities and set analytics priorities
  • Deliver analytics, insight and data products to improve customer, colleague, commercial and operational outcomes
  • Champion experimentation, AI, automation and self-service analytics to enhance decisions and productivity
  • Collaborate with Data, Product, Engineering and Technology to build scalable analytical solutions
  • Promote analytical standards including measurement, governance, storytelling and evidence-based decisions
Key requirements
  • Proven experience leading and developing high-performing analytical teams
  • Strong analytics and insight experience within Retail or similar complex environment
  • Strong stakeholder management and influencing skills with senior leaders
  • Experience applying modern analytics approaches including AI, automation and experimentation
  • stakeholder management
  • leadership
  • influencing
  • AI
  • automation
  • experimentation

Reference: WJ-747_31158305

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