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Supply Chain Data Scientist

Job Title

Supply Chain Data Scientist

ReferenceVAC-278237
EmployerBurberry
Industry SectorEngineering, Manufacturing, Public Sector & Not For Profit, Retail, Services
SalaryNegotiable
Town/CityLondon
LocationsLondon, South East (Excl London)
Contract TypePermanent
Job CategoriesSupply Chain Jobs
Date Posted04 January 2018

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The Supply Chain Analytics team is an integral part of Burberry’s global Supply Chain organisation, responsible for delivering insightful analytics and utilising KPIs to improve the Burberry business performance.

This role will help to identify operational and strategic improvement opportunities, built on a foundation of understanding business operations:

  • Performance reporting, to create tactics
  • Trend / macro analysis to drive strategy
  • Causal analysis to tackle root cause

The ideal candidate should demonstrate a passion in analytical techniques, data handling, statistical modelling, machine learning techniques, and/or coding.

Responsibilities

IMPLEMENT ADVANCED ANALYTICS/DATA SCIENCE SKILLS

  • To complement the current team with advanced analytics / data science skills.
  • Champion the use of analytical techniques across the team and the wider supply chain

PROVIDE OPERATIONAL ANALYSIS & COMMUNICATION

  • Increase visibility of data related to flow of goods, quality, costs, responsibility and people.
  • Help define metrics and targets with supply chain leadership
  • Run operational performance & exception reports
  • Increase transparency to the root cause of issues
  • Provide action orientated executive dashboards

DEVELOP AND DELIVER INITIATIVES TO IMPROVE PERFORMANCE

  • Ad hoc analysis to respond to stakeholder requests, or exploratory follow up
  • Industrialise how analytical insight is incorporated into the business’s reporting tools
  • Work with IT and Supply Chain teams to develop self-serve reports for other users and to add information online

Personal Profile

  • Proven work experience preferred but it is an equal opportunity for high calibre graduate students
  • Working with large data sets, data retrieval, data management, data modelling
  • Statistical programming languages, e.g. Python, R
  • Proficiency in SQL
  • Proficiency in Excel
  • Statistical techniques including clustering and regression
  • Open, curious, analytical, inquisitive approach
  • Self-starter with people skills to build trust, persuade and work as part of a team
  • Coach/train others in your skills

BENEFICIAL

  • Working knowledge of end to end supply chains
  • SAP HANA / Business Objects (or other BI applications) is beneficial
  • Visualisation of complex analyses to business stakeholders
  • Project management experience
  • Machine learning techniques, predictive modelling and optimisation

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