Shopper Insights Industrial Placement (12-Months)

Red Bull UK is currently recruiting for a Shopper Insights Industrial Placement (12-Months) to be based in London, UK. The purpose of this 12 month paid internship is to support the Shopper & Consumer Insights Manager in making Red Bull the definitive expert in how shoppers and consumers behave in outlet, across both Off Premise and On Premise. It is designed for someone at the start of their career, whatever their route in, who wants a hands-on first year in commercial insight, and it builds the foundations for a future career in insights.

The Shopper Insights Intern supports the engine room of the shopper insight agenda. Working under the guidance of the manager, the intern runs core analysis that answers the business’s day-to-day shopper questions, helps turn that analysis into clear stories that people act on, and keeps ad hoc research projects organised and on track. Sitting in the Strategy, Insights & Data team and reporting into the Shopper & Consumer Insights Manager, the role works across continuous data, shopper loyalty and panel data, and custom research. It supports the evaluation of in outlet activation and point of sale, helps prepare the evidence that feeds Business Planning and campaign design, and spends regular time in store to stay close to the real shopper.

This is a structured, hands-on learning year with genuine responsibility. The intern will work with Customer Marketing, Trade Marketing and agency partners from day one, follow an agreed development plan with regular check-ins, and by the end of the year own at least one project from brief to recommendation. Curiosity about why people buy what they buy matters more than experience.

SHOPPER AND CATEGORY ANALYSIS

Run regular and ad hoc analysis that supports the team’s view of the shopper across Off and On Premise. Learn to use continuous data (NIQ, Circana) and shopper loyalty and panel data (Kantar) to pull and interpret the core shopper KPIs: penetration, frequency, repeat, switching, basket and source of volume. Check the numbers carefully, flag what has changed, and build towards bringing a first point of view to the manager rather than raw outputs.

STORYTELLING WITH DATA

Help turn analysis into clear, well-designed outputs that people act on: headline first, evidence second, implication third. Build charts, one-page summaries and presentation sections for Business Planning, customer meetings and campaign reviews, and learn to adapt the same insight for different audiences. Present findings to stakeholders during the year, starting within the team and building up to wider forums.

SUPPORTING THE AD HOC RESEARCH PROGRAMME

Provide day-to-day coordination for the ad hoc research programme, working alongside the manager, who owns briefs, agency selection and budget. Keep timelines, fieldwork checkpoints, stakeholder reviews and debrief logistics on track, help draft briefs and compare agency proposals, maintain the research spend tracker, and close every project with outputs stored, actions logged and the decision it informed recorded.

SUPPORTING MEASUREMENT OF ACTIVATION AND POINT OF SALE

Support the measurement framework for trade marketing assets. Help set up pre and post analysis, maintain the tracker of activations tested and their results, and gather the evidence on which point of sale, creative and communication drive trial and conversion. Write up each evaluation as a short, reusable learning so the next campaign starts from what we already know.

GETTING CLOSE TO THE SHOPPER

Spend regular time in outlet through store visits, shop-alongs and observation, alongside Field Sales and agency partners, to bring the data to life and test our assumptions. Support qualitative and quantitative fieldwork, from survey and discussion guide input to in-store observation, and feed what you see back into the team’s thinking.

INSIGHT OPERATIONS AND KNOWLEDGE SHARING

Help keep the insight engine running. Maintain the regular reports and dashboards, support data deliveries and quality checks with data providers, and keep the insight repository organised so anyone in the business can find what we already know. Produce a regular insight digest and, before the internship ends, document processes and hand over live work so the next intern or team member can pick it up without losing momentum.

No previous insight experience required. A university project, part-time job, society role or earlier internship that shows you can work with numbers and with people is a plus. Strong numerical and analytical skills, comfortable in Excel (pivot tables, lookups, charting), careful with detail and keen to learn how to work with large data sets. Ability to turn numbers into a clear story, with good PowerPoint skills and an eye for simple, well-designed visual outputs. Well organised, able to juggle several tasks and deadlines at once and keep people updated on progress. Clear written and verbal communication, and the confidence to ask questions, share a view and present your own work. Genuine curiosity about shoppers, consumers and retail, and a proactive, hands-on approach to learning. Exposure to NIQ, Circana or Kantar data, research methods (surveys, focus groups, shop-alongs) or tools such as Power BI, Tableau or SQL, for example through your degree, is an advantage but not required. Interest in using AI and self-serve data tools to work faster and smarter is an advantage.

PERFORMANCE GOALS:

• Deliver accurate, timely analysis the team can rely on.
• Keep the ad hoc research programme running smoothly.
• Grow as an insight professional.
• Leave the role ready to hand over.

At Red Bull, we exist to give people wiiings. To achieve that, we recognise the value that comes from having a highly diverse workforce that has the freedom and responsibility to realise their ideas and seize opportunities. We make recruiting decisions based on experience, skills, potential and talent: everyone is welcome here.