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Analytics Manager

Marks & Spencer
GBR
Full-time
Manager
Onsite
Discovered 3 days ago

Full Job Posting

Who you are

  • Your skills and experience will include
  • Proven experience leading, coaching and developing high-performing analytical teams.
  • Strong analytics and insight experience within Retail or a similarly complex operational environment, translating data into actionable recommendations and measurable business outcomes.
  • Strong stakeholder management and influencing skills, partnering with senior leaders to shape priorities and drive evidence-based decision making.
  • Experience applying modern analytics approaches, including AI, automation and experimentation, to solve business problems and identify new opportunities.
  • What's in it for you
  • Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
  • Here are some of the benefits we offer that make working for M&S just that little bit more special...
  • After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
  • Competitive holiday entitlement with the potential to buy extra holiday days!
  • Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
  • A generous Defined Contribution Pension Scheme and Life Assurance.
  • A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
  • Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
  • Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
  • Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
  • A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.
  • Everyone's welcome
  • We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
  • We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
  • If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
  • #hybridrole #LI-hybrid #LI-HB1

Preferred Qualifications

  • Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.

Responsibilities

  • Your key accountabilities will include
  • Lead, coach and develop a high-performing team of analysts, creating an inclusive culture focused on impact and continuous improvement.
  • Partner with Retail and Central Store Operations leaders to identify opportunities, shape analytical priorities and focus the team on the areas of greatest business value.
  • Lead the delivery of analytics, insight and data products that improve customer, colleague, commercial and operational outcomes.
  • Champion experimentation, AI, automation and self-service analytics, improving how decisions are made and increasing analytical productivity.
  • Work across Data, Product, Engineering and Technology to develop trusted, scalable analytical solutions and capabilities.
  • Promote strong analytical standards, including robust measurement, governance, storytelling and evidence-based decision making.

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