Manager, Analytics

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
What you need to know about this position:
This person must be capable of holistically understanding business problems that are presented in the strategy, from the perspective of markets, categories, competition, consumption, and purchase dynamics, based on internal data sources, and to translate that information into insights that can be applied to the business.
Education / Certifications:

• Degree in careers such as Engineering, Economics, Business Administration or related fields.
• Post graduate degree in related areas (Business Analytics, Data Analytics, Digital Analytics, etc) (preferred)

Job specific requirements:

• Ability to solve business problems using Analytics and Data Science in a structured manner
• Extract strategic business insights from data and efficiently communicate them to stakeholders
• Build models to predict future trends and use them to inform business strategy
• Understand the applications and implications of Data Science and the impact impact on business decisions through evidence gathered from data
• Knowledge of most widely-used Analytics tools and technologies (PYTHON, Alteryx, Power BI, Tableau), Supervised Machine Learning, Ensemble methods, clustering techniques like K-Means Clustering and Hierarchical Clustering, time series forecasting, marketing and retail a analytics, etc.
• Knowledge of probability and statistics, machine learning, advanced analytics, business intelligence.
• Foundational Financial Knowledge
• Advanced English required.
• Experience in consumer goods companies (desirable)
• Knowledge of retail, pricing, market, consumer and shopper data ingestion, transformation and analysis.
• Excellent communication skills and interpersonal relations
• Negotiation Skills, capable of persuasion and influence.

No Relocation support available
Business Unit Summary
Mondelez México has been in the country since 1927 and currently employs 6,000 wonderful people. Our diverse portfolio includes iconic and mouth-watering global brands such as Trident, Oreo, Philadelphia, and local jewels like Clorets and Bubbaloo. We are leaders in the making of cream cheese, powdered beverages and confections-in fact, we make seven out of every 10 chewing gums consumed by Mexicans. Our growth is supported by our cutting-edge manufacturing facilities, such as our Puebla Plant and Nuevo León HUB, which are the largest gums, candies and biscuits factories in the world in terms of volume. You can buy are products in 900,000 places in Mexico. We are also home to one of the 11 technology centers Mondelez International has worldwide, a specialized gum and candy facility that places us at the forefront of innovation and development in the country and drives our purpose to lead the future of snacking. We are pioneers in the country in work-life balance practices such as extended maternity leave, open spaces, remote work and flexible working hours.
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