Shopper Insights Industrial Placement (12-Months)

We are seeking a highly motivated and analytically-minded individual to join our Shopper Insights team as an industrial placement student for 12 months.

The successful candidate will work closely with the shopper insights team to analyse shopper data, develop insights, and communicate findings to stakeholders. The role involves working with various data sources, including NIQ, Circana, and Kantar, to gain a deeper understanding of shopper behaviour.

Key responsibilities include:

• Running regular and ad hoc analysis to support the team's view of the shopper across Off and On Premise
• Helping to turn analysis into clear, well-designed outputs that people can act on
• Providing day-to-day coordination for the ad hoc research programme
• Supporting the measurement framework for trade marketing assets
• Spending regular time in outlet through store visits, shop-alongs, and observation
• Maintaining the insight engine and ensuring that the insight repository is organised and easily accessible

To be successful in this role, you will need:

• Strong numerical and analytical skills, with the ability to work comfortably in Excel
• The ability to turn numbers into a clear story, with good PowerPoint skills and an eye for simple, well-designed visual outputs
• Excellent organisational and communication skills, with the ability to juggle multiple tasks and deadlines
• A genuine curiosity about shoppers, consumers, and retail, and a proactive, hands-on approach to learning

In return, we offer a competitive salary, a comprehensive training and development programme, and the opportunity to work with a dynamic and fast-paced organisation.

Our performance goals for this role include:

• Delivering accurate, timely analysis that the team can rely on
• Keeping the ad hoc research programme running smoothly
• Growing as an insight professional, with the ability to own at least one project end-to-end
• Leaving the role ready to hand over, with a documented handover pack covering live projects, regular reports, and data processes