Mondelēz International, Inc. is seeking a Data & Analytics EM Manager to support the execution of projects in the Confections category. The role involves analyzing data to derive insights, enabling data-driven decision-making, and collaborating with various teams to ensure successful project execution.
Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization.
Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights.
Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results.
Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making.
Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements.
EM partnering, establishing roles and responsibilities with the EM, aligning expectations on project execution, issue resolution, delivery of project commitments (quality, service, cost, expenses) and sustained performance.
Provide leadership to the BD & E2E organization on the EM network strategy as it relates to the business team’s commercialization plans. Represent EM as “one point of contact” for brand strategies and project implementation within the EM network.
Qualification
Required
Bachelor’s Degree in data, Statistics, Mathematics, Engineering, etc.
2 years of experience in Data analytics applied to business solutions/insights.
2-4 years commercialization or manufacturing experience.
Strong quantitative skillset with experience in data analytics.
Ability to draw conclusions and make recommendations based on analysis of data.
A natural inclination toward solving complex problems.
Ability to build and maintain strong working relationships.
Good communication skills to promote cross-team collaboration.
Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc.
Ability to use data visualization tools to showcase data for stakeholders.
Systems knowledge: Full Microsoft Suite Capabilities, especially Microsoft Excel and Powerpoint.
