Data & Analytics Manager, Amea

**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 various commercial teams and leaders you will support our business with Data & Analytics capabilities at scale to help the company make faster and smarter business decisions.

**How you will contribute**

**You will**:

- Work in close partnership with the business team to frame and execute Data & Analytics agenda
- Identify and lead incubation, and development of best-in-class algorithm-based capabilities via internal teams OR external partners
- Influence the regional data strategy to drive long-term business performance

**What you will bring**

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

- Using data and analytics to bring forth capabilities to enable analysis and decision making in the broader organization
- Technical experience to develop and guide partners to deliver best-in-class solutions
- Experience deploying new analytical approaches in a complex and highly matrixed organization

**More about the organization**

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.
- Through workshops and business interviews, the role would be expected to define and formulate advanced analytics methodology aligned to business methodologies and expectations. Solution mapping and analytics forming will be a part of this process, along with end-to-end solution design from data ingestion and data processing to UX and visualizations.
- The role will need to be a BI experts, with strong ability in visualization technologies and data story-telling.
- 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

**What extra ingredients you will bring**:
**Job specific requirements**:
**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

**Technology skills**
- ** Practitioner**:Programming languages like SQL, Python or R
- ** Practitioner**:Analytics and Business Intelligence tools like Microsoft Power BI or Tablea