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dunnhumby

Global customer data science and insights

Shopper Insights Client Lead

Customer SuccessConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience identifying and implementing process improvements, automation opportunities, or operational tools that improve efficiency, consistency, and scalability across teams or markets.
  • Experience within retail, consumer packaged goods, software as a service, consulting, customer success, or insights-led environments.
  • Fluent English communication skills, with confidence presenting, facilitating, and training a range of audiences.
  • Stakeholder management capability across multiple priorities, customers, and internal teams.
  • Analytical problem-solving skills and the ability to translate data and feedback into meaningful actions.
  • Confidence delivering client-facing projects and programmes independently while maintaining high service standards.

Responsibilities

  • Deliver onboarding, training, adoption, and engagement programmes for an assigned portfolio of suppliers.
  • Facilitate webinars, office hours, virtual training sessions, and structured support activities that drive customer success.
  • Build strong relationships across supplier, retailer, product, consulting, and commercial stakeholder groups.
  • Analyse usage data, adoption metrics, operational key performance indicators, and customer feedback to identify improvement opportunities and recommendations.
  • Support retailer onboarding, proof-of-concept activities, new business initiatives, and go-to-market programmes across clients.
  • Deliver Foundations Services for an assigned portfolio of suppliers, ensuring high-quality service delivery and service-level agreement compliance.

About the Company

dunnhumby

Global customer data science and insights

Dunnhumby uses Customer Data Science to help retailers and consumer brands improve customer experiences through data-driven insights, offering services like media solutions, customer insights, and personalized marketing strategies, and it also runs Dunnhumby Ventures to back early-stage retail tech startups. It analyzes shopper data from browsers and internet devices using unique identifiers without storing personal information to generate actionable insights that drive targeted campaigns. It differentiates itself by combining depth in retail-focused data science with a suite of services and a corporate venture fund to help clients optimize customer interactions across channels. Its goal is to empower retailers and brands to deliver better, data-informed experiences that boost sales and engagement.

Company size
1,001-5,000
Company stage
Acquired
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
1989

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