Senior Research Lead

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca‑Cola, Nestlé, Unilever and Metro.

You’ll be responsible for scoping, managing and delivering innovative market research insight combining both attitudinal and behavioural data for retailers and manufacturers.

• Full responsibility for the management of research, including proposal writing, methodology development, questionnaire writing, quantitative data analysis, interpretation of results and delivery to lead Research deliveries for retailers and manufacturers.
• Work with and manage relationships with third‑party suppliers and fieldwork agencies to deliver quality projects that meet best practice in a timely fashion.
• Collaborate with internal client teams, agencies and clients to integrate insight and ensure timely and accurate delivery of results.
• Develop and enhance ways of working within the team to maximise our efficiencies and showcase best practice around the business.
• Keep abreast of industry standards and developments within the solution area to stay informed and ahead of the competition.
• Champion the benefits of attitudinal data to wider dunnhumby stakeholders to make engagement with attitudinal data simple for non‑experts.
• Lead relationships with manufacturers and retailer contacts, collaborating with supporting teams, to deliver revenue targets for dunnhumby and joined up insight and communications for clients.
• Use your analytical expertise drawing upon dunnhumby’s different data sets to deliver integrated attitudinal‑behavioural insight.

• Strong quantitative market research experience.
• Experience with AI tools used as part of research processes or analysis.
• Strong knowledge of statistical principles and quantitative research techniques.
• Accurate and clear written skills when producing questionnaires and reports.
• Strong analytical background using Standard Statistical Packages (Excel, Q, SPSS etc.).
• Strong data visualisation and story‑telling skills.
• Strong ability to collaborate effectively within a team.
• Proven capability to build and maintain strong relationships with colleagues and external partners.
• A proactive approach to identifying new opportunities and driving them forward.
• Genuine enthusiasm and a positive attitude.
• Commitment to delivering work of the highest quality.
• Strong problem‑solving skills to tackle complex challenges.
• A growth mindset with a drive to continuously improve yourself and enhance how things are done.

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting‑edge technology that reflects our global ambition. But with a nimble, small‑business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof.

We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work/life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.