Danone China

Business Insight and Intelligence is an essential team under GS&C, which is set up for centralized expertise across consumer insight, business intelligence and execution measurement (ie ‘Flywheel’). We aim to drive real business impact through actionable insight and visionary intelligence.  

Quality and speed of consumer insight are important to generate competitive advantages. Therefore, one of the key missions of this role is to uncover the consumer truth with cross functions as the internal insight champion. 

This role sits inside the Consumer Insights team, under BI&I, and covers Danone’s IMF Category.

Macro trend and category insight:  
- close watch on macro trend (social listening, TMIC, industry report) 

- competition landscape  

- consumer trend understanding

Innovation and communication development:  
Co-build winning brand proposition based on in-depth consumer and category understanding

- Fully leverage category U&A and segmentation study to understanding consumer needs and behavior 

- Work together with brand team to develop brand proposition/communication with updated consumer insights 

- Work together with innovation team to develop NPDs with in-depth consumer knowledge

Opportunity validation:

Ensure successful growth models with validated consumer feedback and clear competition edge in the category

- Concept test (agile and full mix) 

- VI/ pack/ shelf test 

- Business forecast 

- Product test 

- KV/comm asset/ message/ claim test 

- Media touch point understanding 

- Channel study & shopper behavior

Familiar with different methodologies  

- Familiar with Quant solutions: online panel survey, conjoint & other modeling 

- Skillful on survey data processing (excel) 

- Able to work independently on add-hoc Quant study deliverables with key stakeholders 

- Familiar with Qual capability : IDI/FGD

-Social listening experience is a plus.

Qualification:

Bachelor degree or above with fluent English communication skills.  

Minimum 5 years working experience (both agency or in-house are welcome). 

Bring strong knowledge in a specific research area of understanding consumer behavior (e.g. big data, 1st party data, behavioral economics, social listening)