At PepsiCo Africa Middle East and South Asia (AMESA), people from different backgrounds and experiences eagerly roll up their sleeves, pitch in and get to work.
We share a desire to succeed, and to win! We get great satisfaction knowing that our ideas are not only championed, but they are acted upon and brought to life.
Our commitment to creating the best consumer products begins with our people.
Partner with BU NRM, Marketing, Sales and Insights colleagues to propose and formulize Pack Price &Pricing Research projects against business objectives, timelines and budget
Support Market to shape Pack Price & Pricing projects from research brief, detail SKU inputs to scenario planning to ensure methodologies and analytics are optimized
Develop, analyze and interpret research findings, to ensure key insights and Pack Price & Pricing recommendation is centered around shopper behavior and debriefed to all key stakeholders.
Provides output of statistical outputs to business stakeholders in simple, non-technical language.
Lead the Pricing model accuracy validation and Pack Price Research results tracking. Highlighting actual performance vs prediction, identify key areas for continuous model enhancement.
Takes responsibilities that are more non-standard in nature based on the team’s need and delivers them
Support in building functional capability across AMESA, thru webinar program and maintaining the NRM Insights SharePoint portal to lift-and-shift of Sector best-practices and tools and industry news
Keep abreast of new and current statistical and market research techniques.Develop relationships with external research vendors and interact with as needed.
Provide training, documentation and other assistance to PepsiCo NRM & Insights associates to support and expand the use of market research and modeling tools.
Build links to Market Insights / NRM Team to transfer of best practice & key learnings and fill the gap in Pack Price and Pricing research knowledge.
KPI : Deliver clear and quantifiable results in total business volume and price / mix growth (%) targets; Research Projects completed successfully
Qualifications / Requirements
Experience with qualitative and quantitative research methods
Intensive client side or agency analytical and quantitative modelling
Ability to integrate multiple data sources, both internal and external sales and shopper data and derive compelling insights
Hands-on experience managing at least two full life-cycle implementations of sugar tax pricing with strong expertise in PepsiCo P3+ (Conjoint Study) methodology
Strong knowledge in research techniques
Mastery of major statistical processes and tests (ANOVA, Multivariate Regression, Clustering methods for segmentation, Factor analysis, Time series analysis)
Pricing analytics (Price / Mix, Discrete choice, Conjoint studies)
Risk and probability analysis (e.g. Monte Carlo, non-linear programming)
Structural equation modelling (e.g. path modelling, confirmatory factor analysis, hybrid models)
Financial modelling; applying financial data to consumer research findings and output
An outstanding strategic thinker with the ability to see the big picture and pay attention to detail
Able to successfully manage multiple projects under constraints such as limited timelines or sub optimal data
A strong team player, with the ability to collaborate (internal PepsiCo, external Bottler) and advise at all levels