SUPPLY CHAIN SPECIALIST

  • Job Reference: 35922
  • Date Posted: 11 January 2022
  • Recruiter: Morrisons plc
  • Location: York
  • Salary: On Application
  • Sector: Trades & Services
  • Job Type: Full Time Flex, Part Time Flex, Super Flex
  • Duration: Happy to talk flexible working
  • Work Hours: Full Time

Job Description

We're currently seeking a knowledgeable data enthusiast to join Morrisons' Supply Chain Performance, Data and Insight team. As part of a fast paced retail environment, you’ll be working closely with both the Data Modelling and Insight teams to help provide our supply chain with important data to help keep the nation fed. The Supply Chain team touches nearly every aspect of our operations, including:
 
  • Availability and Waste - making sure we've enough stock at the right time, balancing with the amount that goes to waste
  • Ranging and merchandising - making sure we've the right mix of products available to customers
  • Logistics optimisation - smoothing out peaks and troughs in demand for our warehouses, delivery depots, manufacturing sites and suppliers
  • End-to-End efficiency - touching every aspect of the journey from farms and manufacturing sites right through to the till
In your day-to-day role you will spend most of your time working in Python and Google Big Query so knowledge of Python or R is preferable and some experience of programming is essential. You'll be expected to have some experience with data visualisation, preferably building dashboards. Knowledge of Data Science techniques is required for the role but not essential at the outset because training will be provided on the job, so if you’re looking to transition from a software development or data engineering role then you’re in the right place. Some of your duties will include: 
 
  • Be a point of knowledge using data to answer key questions within the business, such as:
    How many sales did we miss due to not having enough stock of an item?
    Which products could we remove from our range?
    What is the optimal delivery frequency for stores to balance cost and product availability?
  • Using our state-of-the-art data facilities in GCP to extract, transform and load data (ETL) for the data science team
  • Supporting the data science team with data and basic modelling tasks including:
    Building feature sets for modelling tasks
    Productionising machine learning models in the cloud
    Building basic models such as forecasting sales and waste across the estate
    Building dashboards in google data studio and Qlik
About You
Essential skills we're looking for in our candidates: 
  • Excellent SQL skills and the ability to extract data from data marts in an accurate and efficient manner
  • Experience of programming - preferably in Python or R - but any kind of programming experience e.g. Javascript, VBA, Java is acceptable
  • Creating data visualisations and possessing an understanding of how to display data in an effective and engaging way and tell stories with the data
  • The ability to mentor other members of the team - in particular technical concepts such as programming, whilst also being eager and enthusiastic about learning new skills from more experienced members of the team
Desirable skills (with training provided where necessary):
  • Experience using visualisation software and dashboards - preferably Qlik or Google Data Studio
  • Knowledge of descriptive statistics - the ability to analyse and describe data e.g. univariate analysis to describe the distribution of data in terms of central tendency (mean, median, mode), dispersion (range, quartiles, variance, standard deviation) and characteristics of the distribution such as skewness
  • Basic modelling - understanding of the fundamentals of simple statistical models such as linear and logistic regression
  • Workable knowledge of cloud computing resources (GCP, AWS,or Azure)
  • Causal inference - the ability and understanding to analyse data in such a way that only the intended effect is measured [e.g if waste is going down in store in general but there’s a trial to improve waste, how do you understand what would’ve happened if no intervention was made so that the true benefit can be measured]
About The Company

In return for looking after our customers, we look after our colleagues too. Here's what we offer:


  • 25 days annual leave, plus statutory bank holidays & option to buy an additional 5 days annual leave
  • 4 day working week + occasional Saturdays 
  • Annual bonus plan
  • Market leading staff discount scheme
  • Competitive pension scheme & life assurance
  • Private medical cover 
  • Onsite Staff Shop, Barista Bar, Gym facilities, subsidised canteen

We pride ourselves on being a diverse and inclusive business and are committed to making Morrisons a brilliant place to work, harbouring an environment where our people can thrive. Treating all colleagues with respect and dignity is the Morrisons way - we celebrate individuality and love different perspectives. It’s what you bring to the table that matters.