Manager, Data

4 weeks ago

Mumbai, India Mondelez Full time

Job Description

- 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 theData & Analytics Manager forConsumer tower,you will be involved in driving theData & 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 structureandlead the development of a cutting-edge solution that aims to bringBI andAI to themarketing space.

How You Will Contribute

- Be responsible foranalytics engagementwith the Marketing function at MDLZandsupport theConsumerD&A Lead in driving theD&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 stakeholdersto craftanalytics methodologies and solutions relevantto their needs and use-cases- applyingtechno-functionalexpertisein data and AIas part of thesolution-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,establishingright ways of working to accelerate path to value by being choiceful and creativeas we'll as having a growth mindset everydaywill 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.

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