Data Analyst, Shopper Insights

About the role

Mondelēz International's Sub-Saharan Africa Business Unit is looking for a Data Analyst, Shopper Insights in Johannesburg. You will support and execute the shopper insight capability, driving shopper-centric plans across shelf, secondary displays and hot zones, and helping build a holistic view of snacking. The role also covers distributor data mapping, coverage and distribution analytics, and reporting.

Key responsibilities

• Identify growth opportunities in the retail environment of the business unit and generate behaviour-changing insights and engagement levers.
• Continuously optimise business through data, tracking and learning, and identify knowledge gaps and research needs in each country.
• Define research objectives, methods, scope and action standards, and turn findings into recommendations that influence sales plans.
• Develop insights on general grocery shopping perspectives (trip missions, channel habits) and study in-store behaviour, and identify drivers of in-store performance, shelf layout, assortment, promotions and pricing.
• Own the end-to-end alignment of PRA data aggregator feeds with country distributor data, resolve mismatches and build an auditable mapping framework ahead of the incentive-on-IMS transition.
• Act as the main data contact with distributor data managers across CEA markets and prioritise data work at the distributor end.
• Produce and maintain coverage numbers by country, channel and retail environment, and highlight white spaces and growth opportunities.
• Support DFC files by validating formulas and checking for gaps, and deliver clear commercial reports for sales and market management teams.

Required profile

• Diploma or degree; 3-5 years in a data or commercial analytics role, ideally in FMCG and traditional trade.
• Experience in market research (FMCG/CPG manufacturer or major retailer) and consumer/shopper research.
• Strong knowledge of the retail environment and the 4 C's.
• Ability to work independently in a remote team, with strong communication and presentation skills.

Required skills

• Excellent Excel / spreadsheet skills, including formulas, data validation and large-file management.
• Knowledge of Go-to-Market models, distributor ecosystems and in-market sales data flows.
• Experience with data aggregators (PRA, Nielsen, IRI) and coverage / numeric distribution metrics is a strong plus.