Commercial Analyst - AMEA D&A MDS

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

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 be:

• Developing foundational analytics capabilities across pricing, promotions, trade investment, in store execution, call planning-enabling more informed, strategic choices by customer and channel.

• Maintaining and operationalizing data assets, ensuring data integrity, and supporting the connection of multiple commercial datasets (e.g., sales, pricing, promotional history) into usable insights.

• Enabling repeatable processes and standard reports, which are essential for scaling analytics across markets and functions.

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 this role is to leverage foundational analytics capabilities across pricing, promotions, and trade investment to enable more informed, strategic decisions by customer and channel. The role will involve prototyping and scaling analytics solutions to meet unmet business needs within AMEA and potentially across global markets through collaboration with internal teams or external partners.

• The role is expected to evolve into a regional expert in commercial data and the market landscape, enabling consultation on the deployment of globally scalable solutions. This includes understanding business needs, translating stakeholder requirements, and ensuring alignment with regional priorities.

• The analyst will drive end-to-end analytics solutions-from data ingestion and processing to visualization and insights-by conducting workshops and business interviews. This includes defining and operationalizing advanced methodologies and translating data assets (e.g., sales, pricing, promotional history) into actionable insights.

• The role will also focus on designing and maintaining scalable data products-dashboards, automated reports, and self-serve analytics tools-that deliver business value and empower commercial users to make data-informed decisions with speed and accuracy.

• Through consultation and training, the analyst will help raise data coverage, usage, accessibility, and literacy across the organization, embedding a data-driven culture within commercial teams.

• The role will also involve coaching and nurturing an agile and collaborative D&A team, fostering innovation and continuous improvement in analytical approaches.

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

• Working Knowledge: Programming languages like SQL, Python or R

• Practitioner: Analytics and Business Intelligence tools like Microsoft Power BI or Tableau.

Soft skills to be successful in the role (not a pre-requisite):

• 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 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 & Collaboration, for example working with both business domain teams as well as D&A teams and stakeholders.

• Storytelling & influencing, for example by creating a consistent, clear storyline for better understanding and/or to assert ideas and persuading others to gain support across an organization or to adopt new behaviors.

Domain skills would be an advantage (not a pre-requisite):

• Commercial/Sales Acumen, for example understanding business concepts, practices and business domain (RTM/RGM) language to engage in problem solving sessions and discuss business issues in stakeholder language.

• Project management capabilities to manage a workplan, 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

Education / Certifications:

• Computer Science graduate with preferred master's in information management/data science/applied Analytics.

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
Headquartered in Singapore, Mondelēz International's Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets.
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