Data and Analytics Manager, Amea

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

More about this role
- Data & Analytics (D&A) is a critical enabler for growth across the markets, by leading the Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities at scale across AMEA to deliver strong business value across all levels of organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans.
- The D&A organization has a set of central teams; Data Management, Analytics Products, Center of Enablement and Data Science resources, which should be maximized at the service of the AMEA business priorities - this requires strong collaboration and influencing skills to drive adoption, relevancy and business impact with speed. This role sits in the regional D&A structure that brings together these practices to deliver value based on an opportunity that is identified in the region.
- We partner commercial functions; Consumer-Marketing, Customer-Sales, Supply Chain and Finance on the D&A agenda for each function.
- Building capability within the teams including leading, coaching, guiding and inspiring the direct and indirect internal & external teams, multifunctional teams in region & business units in order to build a robust ecosystem that can deliver and embed analytics in the identified business processes.

What you need to know about this position:

- A key success driver in the role is to leverage data, analytics and technology skills to prototype a capability to meet an unmet need in the AMEA business and the global solution portfolio. This capability can later be industrialized and scaled within the region or outside the region via internal teams or external partners
- It expected that the role become the regional expert in data and market landscape to consult relevant deployment of globally created solutions. This would mean helping uncover and translate business requirements and stakeholder needs.
- Via consultation or training, the role would be expected to enable the raising of data coverage, usage, easy access, and literacy in the organization.
- Coach, and nurture an agile and highly inspired D&A team

Job specific requirements:

- 3-7 years of relevant work experience as a technical practitioner (programming languages such as SQL, Python &/or R; analytics and business intelligence tools like Microsoft Power BI or Tableau)

Data & analytics skills
- Working Knowledge: Analytics (diagnostic, descriptive, predictive and prescriptive) techniques
- Practitioner: Data management, for example data integration (ETL) or metadata.
- Awareness: Data architecture, for example the difference between data warehouse, data lake or data hub.
- Working Knowledge: Data modelling, for creation of right reusable data assets
- Awareness: Data governance, for example MDM, data quality and data stewardship practices.
- Working Knowledge: Statistical skills, for example understanding the difference between correlation and causation.
- Working Knowledge: Business data, for Customer POS, Media GRP, Shopper Panels, Shipments, Geo-Location, Trade Spend, etc
- Working Knowledge: UX/design, for example by creating products and visualizations that are easy to work with and support the activities required by the end users

What extra ingredients you will bring:

- Leadership with high level of self-initiative and drive, for example leading the discussions on D&A agenda in the region 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