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.
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
You will:
- Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling
- Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights
- Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results
- Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
- Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
- Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making
- Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Strong quantitative skillset with experience in statistics and linear algebra.
- A natural inclination toward solving complex problems
- Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it
- Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons
- Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
- Good communication skills to promote cross-team collaboration
- Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
- Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders
More about this role
What you need to know about this position:
Support, optimize, and ensure adherence to IBP and S&OE processes across the region's Business Units. Actively coordinating regional data consolidation, monitoring BU compliance with established standards, providing direct internal advisory and training, and collaborating with cross-functional teams to drive continuous improvement in planning processes and tools.
Job specific requirements:
- 5+ years of experience in Supply Chain Planning, Demand Planning, Supply Planning, or IBP/S&OE roles.
- Practical experience participating in or supporting IBP/S&OE cycles within a corporate environment.
- Familiarity with process documentation, standard operating procedures, and training delivery.
- Experience working with planning systems (e.g., SAP APO, SAP IBP, o9, Kinaxis) and data analysis tools (e.g., Excel, Power BI).
- Fluency in English is required for effective regional interaction.
No Relocation support available
Business Unit Summary
Wacam is Mondelēz International’s Latin America presence with more the 1700 wonderful people proudly representing a diversity of cultures and nationalities. Wacam includes 13 countries: Colombia, Ecuador, Perú, Chile, Bolivia, Panamá, Costa Rica, Nicaragua, Honduras, Guatemela, El Salvador, República Dominicana, Puerto Rico. We make and distribute our global brands and local jewels such as Field, Club Social to over 190 million consumers.
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.
At Mondelez International we work under a hybrid model, in which our offices at WACAM offer us a space for connection, collaboration and co-creation, with attendance being subject to the needs of the teams themselves and/or the business.
Where permitted by internal policies and local laws, new hires are required to be fully vaccinated with the COVID-19 vaccine as a condition of employment by their date of hire, unless they are granted a medical accommodation.
Job Type
Regular
Data Science
Analytics & Data Science
