data analyst

data analyst London, England

Marks & Spencer
Full Time London, England 55000 - 35000 GBP ANNUAL Today
Job description

Our remarkable Planning teams deliver the products our customers want, to wherever they want them to be, be that online or instore. We’re redefining our Supply Chain processes to enable data-driven decision-making, and we need you to help drive tangible business outcomes!

We now have an exciting opportunity for an E2E Process Data Analyst to join our End To End Planning, Reporting & Analytics Team. This team is responsible for reimaging how Clothing & Home manages the end-to-end ordering and stock flow from factory to customer to drive better availability from faster stock turn. This role will be accountable for developing processes that build capability for merchandising teams in line level forecasting and inventory management for Clothing & Home.

An overview of what you'll be involved in:-

Responsible for developing the processes for end-to-end ordering and stock flow capabilities in:

  • System generated sales forecast and stock holding
  • System recommended Ordering quantities
  • Automated recommendations on existing orders to be pulled forward or pushed back to deliver the right stock for the sales plan
  • Alignment of Distribution Centre and Store flow
  • Alignment between commercial, execution and operational budgets
  • Intake management for new and existing orders
  • Working cross functionally with Merchandising, Commercial Operations, Supply Chain & Logistics, Sourcing and Finance to develop and implement new planning processes, tools and ways of working that enable a step change in clothing and home supply chain availability, cost and resource efficiency.

We are looking for someone who has experience in implementing and using systems to manage the end to end ordering and stock flow within a retail or consumer goods companies. They will also need an understanding of the merchandising processes and of supply chain and the processes involved. They have experience in business analysis and process improvement i.e process mapping, pinch point analysis, opportunity identification, “to be” process proposal and implementation. In addition, they will need:-

  • To be confident working with data: able to analyse, summarise and confidently tell stories with data and to convey findings in an accessible, informative way.
  • To be Proficient in MS Excel and Power Point
  • To have clear and concise communication style, able to simplify and explain complicated concepts and adapt their style to different audiences

Join us on this exciting journey. In exchange for your experience, we will reward you with a competitive salary, opportunities to broaden and develop your career and market leading benefits package.

Interested in being part of something remarkable? Apply today!

#LI-ME1

M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That’s why we’re revolutionising how we work and offering our most exciting opportunities yet. There’s never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact.

We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working.

If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.

About Marks & Spencer

CEO: Stuart Machin
Revenue: $10+ billion (USD)
Size: 10000+ Employees
Type: Company - Public
Website: jobs.marksandspencer.com
Year Founded: 1884

data analyst
Marks & Spencer

jobs.marksandspencer.com
London, United Kingdom
Stuart Machin
$10+ billion (USD)
10000+ Employees
Company - Public
Department, Clothing & Shoe Stores
1884
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