The work pattern for this role is Monday to Friday, the hours are 9:00am to 17:30pm. The salary for this position is circa £26,500 dependent on experience.

What’s in it for you

Being a part of M&S is exactly that – becoming a part and playing your part. We’re an inclusive, dynamic, exciting, and always evolving business built on core values. 

Here are some of the benefits we offer that make working for M&S just that little bit more special…

20% Colleague discount on most things from furniture, fashion and food. A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we’re proud of at M&S. Competitive holiday entitlement! Amazing perks and discounts via our M&S Choices website. Including GymSave – that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day – A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support – this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family & free access to the UnMind App as well as many other schemes 

What you’ll do

Your key accountabilities will include 

Creating data through Power BI dashboard reporting and visuals to support driving action Improve the efficiency and speed of Site Analytics production through increased automation of tasks and identification and reuse of known good data sets Understand how to manipulate and link different data sources to deliver accurate and timely reporting Use data to “answer” business questions and deliver reports, presentations, and compelling arguments Generate effective analysis through data mining and presentation of data with clear recommendations and subsequent actions 

Who you are

Your skills and experience will include 

Ability to gather, interpret, and gain insights from large amounts of data to answer business questions and drive business decisions Using large datasets using frameworks such as Azure data lake services and Azure synapse and understands how to access and join data from different databases to tell a data story Knowledge of one or more machine learning tools, techniques, data bases and decisioning packages . R, Python, SQL, NoSQL, Excel (Advanced), Tableau, Visual Studio Working experience using visualisation tools such as Power BI, Spotfire, Tableau Able to present sophisticated technical Data to non-technical audiences through presentations 

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.

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