Manager, Data & Analytics

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in-class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

Are you'ready to Make It Happen at Mondel z International

Join our Mission to Lead the Future of Snacking. Make It Possible

As the Data & Analytics Manager for Consumer tower , you will be involved in driving the Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities to deliver strong business value across all levels of organization at right cost structure and lead the development of a cutting-edge solution that aims to bring BI and AI to the marketing space .

 How You Will Contribute

• Be responsible for analytics engagement with the Marketing function at MDLZ and support the Consumer D&A Lead in driving the D&A agenda and roadmap for the market by collaborating closely with senior business stakeholders to deliver strong business value across functions in the organization.
• Consult, influence, and collaborate with business stakeholders to craft analytics methodologies and solutions relevant to their needs and use-cases - a pply ing techno-functional expertise in data and AI as part of the solution -forming process .
• Oversee the day-to-day technical development of the solution, creating strong alignment in the working team to achieve goals.
• Collaborate across Business and MDS functions to build and develop demands by maximizing our resources of D&A across Data Management, Analytics Products and Data Science- this requires strong collaboration and influencing skills to drive adoption, relevancy, and business impact with speed.
• Minimizing complexity , establishing right ways of working to accelerate path to value by being choiceful and creative as we'll as having a growth mindset everyday will be essential .
• Validate the weekly progress of the technical teams and lead business user tests, ensuring product quality before the product gets into the hands of the internal customer.