Overview
- Monitor market category, customer and competitor performance across key AMESA markets and execute scorecard reporting for top customers at required intervals and generate scorecards and performance overviews (quarterly / adhoc for key customers) for the categories and customers
- Leverage multiple data sources (Nielsen / IRI, Household panel data, Customer scan / loyalty data) and market / customer understanding, to support AMESA DX
- Supports in the creation and driving of winning execution strategies in-store with customers.
- Identifies sales opportunities and optimization tactics to drive category demand, space and shopper KPIs
- Analyze and prepare reports on Promotions and NPD performance and benchmarking in external views (Nielsen, dunnhumby etc.) to measure and optimize, to drive category growth
- Able to collaborate and work with BU teams and external third party agencies to acquire information and resolve any service issues on projects
Responsibilities
Ability to work in diverse teamsLanguage skills English – business fluentPossess ability to analyze & benchmark competitive scenariosExcellent written and oral communication skills; consistently communicates using appropriate methods for situation and audience in clear, concise and professional mannerAbility to work collaboratively and proactively with multi-functional teamsBe flexible, organized and able to handle competing prioritiesQualifications
Bachelors' degree in Business, Marketing, Engineering : MBA a plusExperience in Python / SQL / Predictive modelling and Clustering is mandatory.6yrs+ insights / analytics experience.Prior FMCG experience is good to have.Advanced Microsoft Office / PowerPoint & Excel skillsCan synthesize multiple disparate data sources into compelling growth strategies / reviewsCan easily see how insights and research learnings can improve business and frames up reporting efforts and opportunities to inform business decisionsSkills Required
Predictive Modeling, Analytics, Pyhton, Fmcg, Clustering, Sql, Ms Office