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ICC is a growing function within PepsiCo that leverages one strategy and common approach to introduce new, technology-driven capabilities and elevate service quality while meeting current and future business needs. PEP RGM is a key priority function where transformation, technology, strategy and capabilities enablement are aimed to be the best in class, and to be standardized and deployed globally. The vision is to develop playbook to develop analytic packs with insights across Brand Ladders, Channel PPA, In-Market Pack Price realization, Trade Investment Strategy, Promo ROI and Mix Management. This work will accelerate growth through efficient positioning across price tiers, optimized channel-based package types, right pricing, well directed commercial strategy and increase promotional ROI driven by enhanced and standardized insights. This position will be part of the ICC - Revenue growth Management organization. This position contributes to the success of the company and contribute to growth through strategy development, and implementation of RGM frameworks. The incumbement will work for different markets across the globe and work with different stakeholders to develop RGM playbooks and ensure analytics execution |
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PepsiCo, Inc. is an American multinational food, snack, and beverage corporation headquartered in Harrison, New York, in the hamlet of Purchase. PepsiCo's business encompasses all aspects of the food and beverage market. It oversees the manufacturing, distribution, and marketing of its products. PepsiCo was formed in 1965 with the merger of the Pepsi-Cola Company and Frito-Lay, Inc. PepsiCo has since expanded from its namesake product Pepsi Cola to an immensely diversified range of food and beverage brands. The largest and most recent acquisition was Pioneer Foods in 2020 for $1.7bn [3] and before that it was the Quaker Oats Company in 2001, which added the Gatorade brand to the Pepsi portfolio and Tropicana Products in 1998.
Job ID: 151814641
Skills:
Alteryx, Power Bi, Advanced Analytics, Data Visualization, Tableau, Knime, Data Analytics, Python, Data Pre-processing Tools, R