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 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. Creating value from business-driven data and analytics initiatives at scale . An important task for the Data & Analytics Manager is to support the business and other stakeholders in their solving their business problems via relevant data & analytics . This means they will support the business during various stages. In the inspiration phase they help the business in identifying the right use cases and support prioritization based on feasibility and value. In the ideation phase they help with the development of a minimum viable product and business case. During the implementation phase they make sure the service or product is adopted (by the employees), embedded in the workflow (process) and measured for impact. Helps uncover and translate business requirements and stakeholder needs. This translation needs to be done in such a way that the technical specialists in the D&A team can understand ( Data Management, Analytics Products , Partners and / or Data Science resources ) . This requires an understanding of both the business objectives , goals, and domain expertise , as we'll as data, analytics and technology concepts, methods, and techniques. It also requires strong soft skills with a focus on communication . The role will lead analytics delivery for Marketing initiatives & BI development (reports, dashboard, visualization) and/or data governance (stewardship best practices) . Data & analytics skills Must have a good understanding of the concepts, methods and techniques used: Analytics , for example diagnostic, descriptive, predictive and prescriptive. AI , for example machine learning, natural language processing. Data management, for example data integration (ETL) or metadata. Data architecture , for example the difference between data warehouse, data lake or data hub. Data modelling , for creation of right reusable data assets. Data governance , for example MDM, data quality and data stewardship practices. Statistical skills , for example understanding the difference between correlation and causation. Technology skills Good understanding of the tools and technologies in the D&A team: Programming languages like SQL, Python or R and notebooks like R Studio or Jupyter . Data integration tools like Informatica or Talend. Analytics and Business Intelligence tools like Microsoft Power BI or Tableau. S oft skills Leadership with high level of self-initiative and drive , for example leading the discussions on D&A agenda in the BU and building a combined vision across multiple stakeholders. Communication , for example conveying information to diverse audiences in a way that is easily understood and actionable. Facilitation and conflict resolution , for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation. Creative thinking and being comfortable with unknown or unchartered territories , for example framing new concepts for business teams and brainstorming with business users about future product and services. Teamwork , for example working with both business domain teams as we'll as D&A teams and MDS stakeholders . Collaboration , for example fostering group problem solving and solution creation with business and technical team members. Relationship management , for example creating relationships and builds trust with internal and external stakeholders quickly . Storytelling , for example by creating a consistent , clear storyline for better understanding. Influencing , for example by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors . Domain skills Must have a good understanding of the business process and associated data: Business Acumen , for example understanding business concepts, practices and business domain language to engage in problem solving sessions and discuss business issues in stakeholder language . R elevant experience in Data and Analytics CPG or FMCG is preferred. Business Process Transformation , for example ability to understand how D&A can help redesign the way work is done. Business data, Nielsen / Circana or other EPOS/Retail Sales data source; Kantar/GFK or other household panel source. Other skills Agility, G rowth mindset will be crucial. Project management capabilities including ability to manage risks , for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities. Vendor negotiation and effort estimation skills, for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supported. Business case development , for example to help develop support for the experimenting selected use cases or measure the impact / business value created. For this the role can collaborate with business analysts in sales, marketing, RGM, finance or supply chain . Decision modelling , for example, supports decision makers and improves complicated decisions that involve trade-offs among alternative courses of action by using decision-problem models. UX/d esign , for example by creating products and visualizations that are easy to work with and support the activities required by the end users.
