dunnhumby is the world's leading customer science company. We analyse data and apply insights from nearly one billion shoppers across the globe to create personalised customer experiences in digital, mobile, and retail environments.
Our strategic process, proprietary insights, and multichannel media capabilities build loyalty with customers to drive competitive advantage and sustained growth for clients.
dunnhumby employs over 2,000 experts in offices throughout Europe, Asia, Africa, and the Americas and works with a prestigious group of companies including Tesco, Monoprix, Raley's, Macy's, Coca-
Cola, Procter & Gamble, and PepsiCo. For more information, please visit us at www.dunnhumby.com.
To scope, manage and deliver actionable insights that drive sales and customer loyalty by efficiently analysing behavioural or attitudinal data.
To be the voice of the customer when looking at understanding performance of retailers, categories or brands.
Hands-on analysis of the retailer database using the full suite of dunnhumby technical tools (Python, SQL, R, Excel, and specific dunnhumby internal tools) to create timely, relevant and actionable insights.
Effectively manage projects, tasks and stakeholders to ensure that projects are delivered on time, within budget and to brief specification whilst ensuring minimal downtime and maximum utilisation.
QA of own code and that of team members to ensure the highest quality of work going to our clients.
Identify opportunities for standardisation & automation of existing solutions and processes to enable dunnhumby to realise the maximum potential from our teams.
Challenge and improve dunnhumby analytical capability through development of tools or processes that offer opportunities to dunnhumby and our clients.
Work closely with key internal stakeholders to ensure sound knowledge of client objectives and customer insight, to subsequently design best-in-class solutions.
Follow best practice in diskspace management to help ensure that disk space is not fully utilised and solutions can be delivered on time.
Master's degree or equivalent in statistics or similar field
Bachelor's degree or equivalent in a numerate subject e.g. Stats, Maths, Physics, Economics, etc
Functional Skills :
Data Interpretation / Insight Analysis
Solution Design & Development
Programming (Python, SQL, R or other)
Quality Assurance and Testing
Secondary Market Research / Desk Research
Story-telling using data and insight
Quantitative and Qualitative Research Techniques
Generic Skills :
Business and Commercial Acumen
Data Analysis and Modeling
dunnhumby Capabilities and Solutions
Leadership Skills :
Work as a team with others
Build strong relationships with colleagues
Identify personal priorities
Deliver work to high standard
Solve challenging problems
Be driven to improve yourself and the way things are done