Data & Analytics Manager

Job Description

Are You Ready to Make It Happen at Mondelēz International?

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

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How You Will Contribute

You will:

• 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

A desire to drive your future and accelerate your career and the following experience and knowledge:

• 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
  
  
  

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

As the Data & Analytics (D&A) Manager India Data Hub & Enterprise, you will be involved in envisioning, enabling, and executing a D&A strategy aimed at digitizing key work process in Mondelēz India. The role will be accountable for the Data Strategy and India along with the accountability for the Data Hub (Data Lake) contents, and the Business Intelligence applications built off it. The ideal candidate will be passionate about Business Digital Transformation, solving business problems with data & analytics, have excellent communication skills, and be able to effectively engage and manage a diverse group of individuals. This role is expected to work with various parts of Data & Analytics organization, external partners, multiple functional (Finance, Sales, Supply Chain and Consumer-Marketing) teams as well as Business leaders to successfully deliver the Data Hub & Enterprise agenda for Mondelēz India.

How You Will Contribute

You will:

• Lead and manage the Mondelez Data Hub and Enterprise program as the D&A representative partnering the broader Digital Council within Mondelēz India. Bring expertise on Data, Business Process, Technology and Analytics to develop and implement strategies to increase the data and analytics quotient of the broader organization.
• Own the contents of India Data Hub (Data Lake), Community Site, and the Business Intelligence applications built off it. This involves governing the data ingestion plans, application development/deployment plans led by other D&A colleagues and govern its continuous improvement plans. Is expected to lead a team of Mondelēz D&A professionals and external partners with to deliver the program and drive adoption of the applications and data assets.
• Drive governance and adoption of the Data Hub and its application, this role is expected to partner multifunctional teams to drive Digitization Change Management via delivering technical trainings and co-develop business relevant contents.
• Review adoption metrics and device improvement plans based on periodic feedback workshops. Monitor and respond to community questions, and concerns in a timely and professional manner.
• Owns the Data Hub onboarding, and upskilling learning pathways. Partners both internal and external resources to curate and upkeep the curriculum. Develop and maintain relationships with influencers, thought leaders, and experts un the various Functions and Business Units to better understand requirements of the data and application users.

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• Provide support to Mondelēz’s Functions and Business Units, with ‘art-of-possible’ workshops, and leverage the broader D&A community to inspire impactful use-cases and implementations.
  
  
  

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 well as data, analytics, and technology concepts, methods, and techniques. It also requires strong soft skills with a focus on communication.

Data & Analytics Skills

Must have a good understanding of the concepts, methods, and techniques used:

• Analytics, for example, diagnostic, descriptive, predictive, and prescriptive.
• Data management, for example data integration (ETL) or metadata.
• Data architecture, for example, the difference between a data warehouse, a data lake or a data hub.
• Data modelling for the creation of the right reusable data assets
• Data governance, for example, MDM, data quality, and data stewardship practices.
  
  
  

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.
  
  
  

Soft skills

• Leadership with a 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, is 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 uncharted territories, for example, framing new concepts for business teams and brainstorming with business users about future products and services.
• Teamwork, for example, working with both business domain teams as well as D&A teams and MDS stakeholders.
• Collaboration, for example, fostering group problem solving and solution creation with business and technical team members.

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• Relationship management, for example, involves creating relationships and building 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. Relevant 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, cross-functional knowledge, and experience in Finance and Supply Chain (specifically with SAP systems).
  
  
  

Other Skills

• Agility and a growth mindset will be crucial
• Project management capabilities, including the ability to manage risks, such as an understanding of project management concepts, to organize their own work, and collaborate with project managers to align business expectations with the D&A team's delivery capabilities.
• Vendor negotiation and effort estimation skills, for example, to manage the right partner skills at the 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 selected use cases or measure the impact/business value created. For this,s the role can collaborate with business analysts in the supply chain.
• Decision modelling, for example, supports decision makers in making complex decisions that involve trade-offs among alternative courses of action by using decision-problem models.
• UX/design, for example, by creating products and visualizations that are easy to work with and support the activities required by the end users.
  
  
  

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

At 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 Type

Regular

Analytics & Modelling

Analytics & Data Science