Category & Store Solutions Consulting Lead
Posted about 2 hours ago
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.
We’re looking for a Category & Store Solutions Consulting Analyst who expects more from their career. It’s a chance to bring good Product & Solutions experience, coupled with retail customer data and insights knowledge to the client in order to bring incremental value-added features to the product, evolve our product suite and drive a strong product mindset and culture across the organization. Specifically, work closely with Product, Engineering and Science teams on a day to day basis to resolve challenges and ensure that we are proposing, building and delivering relevant and compelling products and solutions.
What we expect from you;
- Degree or equivalent in a relevant subject
- Manage implementation of new processes, tools, and solutions including performance UAT with the client and as part of a large team environment
- Develop and publish GTM enhancement overviews, product training content, and release updates for new feature launches across internal and client-facing channels
- Lead release share-outs and solution demonstrations to internal and external stakeholders, providing clear technical guidance on product capabilities and driving a culture of execution excellence through strong communication and follow-up
- Conduct user research, gather and synthesize requirements, manage the product backlog, and support the Product Manager in capturing and actioning stakeholder feedback.
- Translate product usage data into insights with clear, actionable recommendations for improvements and growth.
Preferred experience:
- Experience using customer data analytics software and solutions- in particular, assortment optimization products- would be a plus.
What you can expect from us
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.
Our approach to Flexible Working
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.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Global leader in Customer data science, retail media and analytics, experts in working with brands, grocery retail, retail pharmacy, and retailer financial services.
Key team members

Joe Walter

🔵 Fabio Bahia

Anne Laun

Tony Dudson
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