Retail intelligence platform connecting customer insight to loyalty and media decisions
dunnhumby operates a data science and loyalty platform for retail chains and consumer brands, built on a modern cloud-native stack (AWS, GCP, Azure, Spark, Airflow, BigQuery) with full observability (New Relic) and a headless frontend layer (React, TypeScript, Nx). The hiring mix reveals a sales-led expansion: active roles are heavily weighted toward sales (35 openings) and data (30), while the project backlog shows near-term focus on retail media monetization (self-serve ad platforms, measurement pipelines, network products) — indicating a strategic pivot from pure loyalty analytics toward transaction revenue through media.
Notable leadership hires: Client Lead, Price Promotion Consulting Lead, Category Management Lead, Director of Category Growth, Research Lead
dunnhumby is a retail intelligence and customer loyalty platform serving major chains and consumer brands. Founded in 1989, the company now operates across Europe, Asia, Africa, and the Americas with 1,001–5,000 employees. The platform sits at the intersection of customer analytics, loyalty programs, and retail media networks, helping retailers optimize pricing, promotions, and advertising inventory while enabling brands to reach consumers at scale. Revenue model spans advisory services, software licenses, and increasingly media transaction fees.
Multi-cloud (AWS, GCP, Azure) with Apache Spark, Hive, and Airflow for data pipelines; Python, FastAPI, PySpark for backend; React and TypeScript for frontend; BigQuery and Redshift for analytics; New Relic for observability; Docker and Kubernetes for orchestration.
15 countries: United States, United Kingdom, Japan, Colombia, Mexico, India, Czechia, Canada, United Arab Emirates, Norway, South Africa, Ireland, Brazil, Hungary, and New Zealand.
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