Sales Asst Supervisor
PepsiCo
Overview Work with DX team, design leads, sector capability leads to create awareness and knowledge of the tool Provide point of view on newer functionalities that can be added to enhance the tool Take accountability of designing, building and enhancing the front end of tool Assist with materials for tool and analysis for the Kroger’s team including relevant effectiveness and efficient PoG analysis Work with advisor team on enhancing platform to fit needs for each relay Work with IT to mainly hosting it on Azure with minimal downtime Expand platform to new accounts like Walmart, Target Use sound engineering principles to develop robust and sustainable solutions Enhance and maintain platform UI Ensuring programs are aligned with insights and sector leads Responsibilities Extract data from raw Planogram files using an extractor tool, analyze it with Python scripts, and integrate the results into a Power BI dashboard. Support over 35 retailer accounts in Planogram validation analysis and design new space-related KPIs based on business requirements. Effectively communicate with the NA Space team to understand business needs, anticipate requirements, and suggest optimal solution approaches. Develop a Power BI dashboard for FLNA to provide business insights, such as average space and SKU availability at the account level for PEP products. Qualifications B.S./M.S. in quantitative discipline required (e.g. computer science, mathematics, operations research, engineering.) 4+ years of coding experience with team management and stakeholder management with product development background Exceptional project management and organizational skills A team player, who thrives on working collaboratively, inspiring others and bringing out the best in others Work in ambiguous environment and establish new pathways and processes Experience with using project management tools such as DevOps (good to have) Code deployment using tools such as GitHub (good to have) Azure ecosystem exposure (good to have) Programming experience in Python (must have)
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