Manager, Advanced Business Analytics

Are You Ready to Make It Happen at Mondelēz International?

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

As the Manager, Advanced Business Analytics, you will play a crucial role in driving data-driven insights and strategic decision-making across the organization. You will be responsible for leading various analytical initiatives to maximize growth and improve overall business performance

How You Will Contribute

You will:

• Monthly Special Analytical Projects: Monthly assess the performance of the business and proactively identify opportunity areas through data-driven analytical insights.
• Category and Market Share Forecasting: Lead the development and deployment of advanced market forecasting models, to enhance our category and market share projections. Collaborate with cross-functional teams to ensure the successful implementation and accuracy of these models.
• Advanced Analytics Global Tools Deployment: Lead the deployment and adoption of global tools for advanced analytics across the Canadian organization. Such tools include the deployment of Category & Brand Growth Strategy Tool, Reinventing Marketing Mix Modeling (MMM) as a holistic measurement & investment planning tool, and the Strategic Revenue Growth Management (RGM) Toolkit.
• Nielsen Governance Management: Ensure compliance and governance of the Nielsen relationship. Weekly meeting to ensure projects are delivered on time, data delivery and budget management. Collaborate with Nielsen representatives to leverage their services effectively and efficiently.
• Partner with Integrated Business Planning (IBP): Work closely with the Integrated Business Planning (IBP) team to enhance our ways of working to optimize inventory management and demand planning for all categories.
• Dashboard Automation and Data Management: Oversee the automation of reporting and dashboard creation to enable real-time access to key performance indicators. Manage and integrate data from various sources, including Nielsen Discover, to provide comprehensive insights to stakeholders. Lead the development and exploration of AI initiatives to drive efficiency and agility.

What you will bring:

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

• Technical experience in roles in best-in-class analytics practices
• Using data analysis to make recommendations to senior leaders
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

What extra ingredients you will bring:

• Present analytics insights that are actionable, compelling, and connected to the business strategy.
• Use Analytics to build a strategic point of view about our categories, brands, and customers.
• Set a strategy for using data to drive intelligent decisions and ultimately improve effectiveness and profitability.
• Effectively communicate and present complex technical concepts to non-technical audiences.
• Consults with Marketing colleagues to define the scope of strategic initiatives to proactively identify growth opportunities for our categories and brands.
• Lead full scale analyses to better understand growth trends and business performance.
• Understand data, data management, data infrastructure, and marketing applications
• Oversee and participate in monthly, quarterly, and annual reporting.

Education / Certifications:

Bachelor's or Master's degree in a relevant field (e.g., Business Analytics, Statistics)

Job specific requirements:

• Previous experience in managing and deploying global analytical tools is a plus
• A critical thinker with not only the ability to find and understand the data, but also the curiosity to transform the data into business objectives
• Strong knowledge of AI initiatives and their application in data-driven decision-making
• Bachelor's or Master's degree in a relevant field (e.g., Business Analytics, Statistics).
• Advanced level of Microsoft Excel including ability to build complex spreadsheet models, run pivots, macros, v-lookups, and other advanced functions ) and proficiency with other applications of Microsoft Office Suite (PowerPoint; SharePoint; Power BI/Query)
• 5+ years’ experience with proven track record in advanced analytics and forecasting models, preferably in a consumer goods or related industry.
• Excellent communication and presentation skills, with the ability to convey complex insights to both technical and non-technical stakeholders
• Power user with syndicated data (i.e. Nielsen, IRI, Numerator)

Work schedule:

Hybrid

No Relocation support available

Business Unit Summary

With several brands that are among consumer favourites, including Cadbury, OREO, Christie and Maynards, we are one of the largest snack companies in Canada. Many of our iconic brands are ranked first, second or third in their categories, and our manufacturers and pastry chefs have an enviable mission to create and manufacture chocolate, cookies, crackers and candy in our iconic factories and locations across Ontario. A company with many ambitious growth targets, we have invested close to $250 million in our Ontario plants in recent years alone; We run marketing campaigns promoting innovative products such as Cadbury Dark Milk tablets and OREO Birthday Cake and Peppermint Bark cookies. Our community of more than 2,683 employees is present across Canada and our head office is in Toronto. Passion and dedication characterize our Company. We encourage all our employees to be themselves at work, to speak out and to encourage diversity in all areas of activity. In addition, we foster a flexible work environment and place great importance on the notions of trust and empathy to promote a true sense of belonging.

Mondelez welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process. Please note that the term "accommodation" in this posting means changes that are made in order to meet the needs of a person with disabilities and not lodging.

Job Type

Regular

Analytics & Modelling

Analytics & Data Science