Study planning and delivery support
• Support questionnaires, market inputs, sampling and quota reviews, fieldwork plans and reporting schedules.
• Coordinate agency and Market inputs, track deliverables and follow up on issues affecting quality or timing. Escalate material risks to the relevant study owner.
Data quality and measurement consistency
• Review agency results for anomalies, sample composition, weighting, base sizes and comparability across markets and waves. Investigate issues with the agency and Data Science before findings are used.
• Apply approved KPI definitions and sources, and maintain clear documentation of methods, changes and limitations. Support incidence-based sampling inputs for other studies.
Analysis and insight generation
• Analyse incidence and brand results across markets, waves and consumer groups to identify trends, performance gaps and questions requiring deeper investigation.
• Prepare inputs for market sizing and planning, and connect incidence and brand findings with relevant consumer and commercial evidence. Distinguish supported findings from hypotheses.
Reporting and business support
• Prepare reports, charts and presentations with clear implications and recommendations for review.
• Support recurring reporting and cross-functional requests by identifying suitable measures and sources, making evidence limitations clear and tracking follow-up analysis.
Team collaboration and continuous improvement
• Work across the team to use the same measurement language, share findings and test whether evidence from different tools supports a consistent interpretation.
• Translate analytical needs into clear requirements for Data Science and agencies. Suggest practical improvements to reporting, documentation and study processes.