Shopper Insights Client Associate at dunnhumby (South Africa)
dunnhumby· South Africa·
Job description
We’re looking for an Insights Client Associate to join us on a permanent basis.
This is a great opportunity for someone at the beginning of their career who is eager to learn, develop, and gain experience in retail insights and Client Success. You’ll work closely with experienced colleagues and receive strong support and training to help you succeed.
What You’ll Do
- Support the management of a small portfolio of clients within assigned category, with guidance from the team.
- Partner with senior team members to turn data into meaningful insights and recommendations for clients.
- Use internal tools to help build compelling presentations and data-driven stories that support client decision-making.
- Create brilliant data lead case studies showcasing the value of data lead recommendations
- Support portfolio of suppliers with brilliant training
- Support Waitrose buyers in relevant category
- Assist in identifying trends and patterns in retail data to uncover opportunities.
- Help develop client briefs and presentation materials.
- Participate in training and development opportunities to build skills and confidence.
What You’ll Bring
- A bachelor’s degree (in any discipline).
- A strong interest in retail, FMCG, or data-driven decision-making.
- Curiosity, attention to detail, and a willingness to learn.
- A proactive, positive attitude with strong communication and collaboration skills.
You don’t need prior industry experience — we’re looking for potential rather than polish. If you’re passionate about using data to make an impact and are keen to grow a career in insights, we’d love to hear from you.
Why work at dunnhumby
- Culture: Strong emphasis on diversity, equity & inclusion with employee network groups (dhThrive for wellbeing, dhEnabled for disabilities, Proud for LGBTQ+, Gender Equality). Named “Gender Equality Champion” and “Top 20 Accelerating Women’s Careers” in 2026.
- Values: “Champion the customer behind the data”, “Treat people how they want to be treated”, “Collaborate for impact”, “Own your part”, “Stretch the thinking.”
- Work environment: Not explicitly labelled remote/hybrid, but global offices and a Technology & Product team of 672 suggest flexibility. LinkedIn ratings show a 4.3/5 employer score with high marks for work‑life balance (4.5) and culture (4.4).
- Engineering & data science culture: 672 technical employees and 377 in research; active hiring for Senior AI Software Engineer, Applied Data Scientist, and Data Science Engineer roles. The company uses AI in hiring for fairness (human final decisions) and encourages candidates to use AI tools in applications.
- Notable perks: Emphasis on skills‑based hiring; partnerships with Code First Girls to open tech careers; mental health support through dhThrive.