Mondelez
India Posted 6d ago
Join our mission to lead the future of snacking at Mondelēz International, supporting our business with excellent data models to uncover trends that drive long-term results. You will execute the business analytics agenda in conjunction with analytics team leaders and external partners to deliver strategic projects.
Key Responsibilities
Execute the business analytics agenda in conjunction with analytics team leaders
Work with best-in-class external partners who leverage analytics tools and processes
Use models and algorithms to uncover signals, patterns and trends to drive long-term business performance
Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver
Identify data requirements, define best fit data sources, and work with stakeholders on data validation
Model the network according to project charter and following existing global modelling standards and tools
Model, assess costs, service, inventory and validate scenario outputs using optimization, visualization and data management tools
Maintain current knowledge of modelling and analysis techniques and work on continuous improvement
Build trust and credibility with different stakeholders to achieve common organizational goals and targets
Requirements
Bachelor’s or Master’s degree in a quantitative field such as Operation Research, Statistics, Applied Mathematics, Engineering, or Data Science
Minimum 3-6 years of experience in supply chain, strategy and/or operation
Overall experience in Logistics, Distribution, Production, Operations management, and or supply chain management
Demonstrated experience in applying analytics to solve business problems
Strong experience in Supply Chain GURU, Optilogic, or Lyric
Proven experience in reporting and managing projects with cross-functional and global stakeholders
Stronghold in Visualization Tools such as Tableau or Power BI
Stronghold in Data Management and Processing Tools such as Alteryx or R
Preferred Qualifications
Experience in Statistical analytical tools and projects
