Analytics Analyst

Overview

Analytics Manager role supporting Mondelēz's supply chain network through analytical data modelling, network capacity reviews and fact-based decisions on the end-to-end supply network.

What you'll do

• 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/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.
• Provide analytics and a certain degree of project management to various projects and regular network capacity reviews for various BUs.
• Identify data requirements, define best-fit data sources, and work with stakeholders on data validation.
• Model the network according to project charter and existing global modelling standards and tools.
• Model, assess (costs, service, inventory) and validate scenario outputs using optimization, visualization and data management tools, and discuss them with relevant stakeholders.
• Maintain current knowledge of modelling and analysis techniques and work on continuous improvement through networking with internal stakeholders and external professional organizations, vendors, and support forums.
• Build trust and credibility with different stakeholders to achieve common organizational goals and targets.

What you'll need

• Bachelor's or Master's degree in a quantitative field such as Operations Research, Statistics, Applied Mathematics, Engineering, or Data Science.
• Minimum 3-6 years of experience in supply chain, strategy and/or operations.
• Overall experience in logistics, distribution, production/operations management, and/or supply chain management.
• Demonstrated experience applying analytics to solve business problems.
• Strong experience in Supply Chain GURU/Optilogic/Lyric (must have).
• Proven experience reporting and managing projects with cross-functional and global stakeholders.
• Using data analysis to make recommendations to analytic leaders.
• Understanding of best-in-class analytics practices.
• Knowledge of KPIs and scorecards.

Nice to have

• FMCG experience.
• Knowledge of BI tools such as Tableau, Excel, Alteryx, R, Python, etc.
• Stronghold in visualization tools (Tableau preferred, or Power BI).
• Stronghold in data management and processing tools (Alteryx preferred, or R/Prep).
• Experience in statistical analytical tools and projects.

Details

• Location: Remote Worker - India.
• Within-country relocation support available; minimal support for voluntary international moves under the Volunteer International Transfer Policy.
• Job type: Regular.