Mondelēz International

Global Direct Materials PMO and Analytics (BB-2EA6B)

Found in: Talent UK

Description:
Job DescriptionAre You Ready to Make It Happen at Mondelēz International?Join our Mission to Lead the Future of Snacking. Make It Possible.In this role you will make an impact on our business by creating value and supporting decision making as you manage the functional data science capability through the application of mathematical, statistical, predictive modelling or machine-learning techniques to analyze data and generate insights. You will have the responsibility to build the data science roadmap for the businessHow you will contributeYou will:Manage the introduction and use of analytics to meet business requirements, ensuring consistency across all user groups. Also, you will establish and manage functional analytics methods, techniques and capabilities to enable the function to analyze data, generate insights, create value and drive decision making while you measure the progress of initiatives and market successes to the organizationAssess the business problems to be solved and what internal or external data sources to use or acquireIdentify and establish the veracity of the external sources of information that are relevant to the operational needs of the enterpriseDefine business-oriented goals for initiative(s) and explain the initiative(s) to business managersApply your expertise in analysis of data with high volumes, velocities and variety (numbers, symbols, text, sound and image). In addition, you will develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision makingUnderstand the identification, validation and exploitation of internal and external data sets generated from a diverse range of functional processes and in general you will be an expert in functional data and data setsRecruit talent and build teams with the right mix of skills to staff projectsWhat you will bringA desire to drive your future and accelerate your career. You will bring experience and knowledge in:Working experience in a quantitative discipline and data scienceStrong quantitative background in statistics and linear algebra as well as programming knowledgeKnowledgeable in classification techniques, collaborative filtering, association rules, and heuristics approachesUnderstanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, and familiarity querying databasesFamiliarity generating dashboards and manipulating data visualization software KPIs/dimensionsInterfacing with high-level stakeholders (SVPs and more)More about this role#Work schedule:100%Country to country Relocation support available through our Global Mobility PoliciesBusiness Unit SummaryAt Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.Job TypeRegularData ScienceAnalytics & Data Science

calendar_today9 hours ago

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info Full time

location_on Birmingham, United Kingdom

work Mondelēz International

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