Shopper Insights Industrial Placement (12-Months)

Redbull; Greater London; On-site; GBP 11,000 - 17,000; Part time

Job summary

Red Bull is seeking a proactive intern to support shopper and category analyses in Greater London. The role involves turning data into actionable insights, building charts, and contributing to business planning and campaign reviews.

You will work with NIQ, Circana and Kantar data, developing your skills in Power BI, Tableau and SQL. You will partner with Field Sales and agency partners, learn measurement frameworks for activation, and help keep dashboards and reports up to date.

Qualifications

• Strong numerical and analytical skills, comfortable in Excel (pivot tables, lookups, charting).
• Ability to turn numbers into a clear story with visuals (PowerPoint).
• Well organised with good time management and ability to juggle deadlines.
• Clear written and verbal communication; confident to present your work.
• Genuine curiosity about shoppers, consumers and retail.
• Exposure to NIQ, Circana or Kantar data or tools (Power BI, Tableau, SQL) is advantageous.
• Interest in using AI and self-serve data tools to work faster and smarter is an advantage.

Responsibilities

• Analyze shopper data to support the team's view of shopper behavior across Off and On Premise.
• Create clear outputs: headlines, charts, summaries for meetings and campaigns.
• Coordinate ad hoc research briefs, track timelines and budgets with the manager.
• Support measurement frameworks for trade activation and POS tests with regular updates.
• Spend time in-store with Field Sales to bring data to life and test assumptions.
• Maintain regular reports, dashboards, data quality checks and repository organization.

Skills

Numerical skills

Storytelling with data

Communication (written & verbal)

Organization

Curiosity about shoppers

Experience with NIQ Circana Kantar

Power BI

Tableau

SQL

Tools

Excel

Job description

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.

QUALIFICATIONS

• 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. Regular reporting and ad hoc requests turned around to agreed deadlines, with accuracy and independence growing through the year and a clear implication attached to every output.

Keep the ad hoc research programme running smoothly. Timelines, trackers and project close outs kept up to date, with briefs, outputs and learnings logged in the insight repository and each project linked to the decision it informed.

Grow as an insight professional. By the end of the internship, own at least one project end to end, present findings directly to stakeholders, and complete the development plan agreed with the manager.

Leave the role ready to hand over. A documented handover pack covering live projects, regular reports and data processes, completed in the final month so the next intern starts strong.

ABOUT US

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.