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hace 2 meses
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:
Execute the business analytics agenda in conjunction with analytics team leaders Work with best-in-class external partners who leverage analytics tools and processes Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliverWhat 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 analytic leaders Understanding in best-in-class analytics practices Knowledge of Indicators (KPI's) and scorecards Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plusHow you will contribute
You will:
Be the project manager for the Smart Pricing Project in WACAM. This means Interact with local RGM teams, analytics global team and other stakeholders. Build and automate relevant reports of Price and Packaging, Promotional ROI and Trade Terms performance. Work with the Global Analytics Team building statistical models to measure regular price elasticity and promotional price elasticity both for consumers and trade. Build Postmorterm analysis for promotional activities. Design and implement a machine learning model to predict Promo ROI. Develop a discount optimization algorithm. Active enrollment in defining the best data solutions to automate and democratize data in WACAM. Liaison with IBS in this type of projects. Find Revenue Pools based on Market Analysis of price and packages of Mondelez and the competition. Build Pricing Scenarios to find the optimal price of SKU/Location. Simulate net impact of pricing strategies in Volume, Share, Revenue and Margin.What extra ingredients you will bring:
A desire to drive your future and accelerate your career and the following experience and knowledge:
Strong quantitative skill set with experience in statistical modelling, econometrics modelling such as Regression, Hierarchical Bayesian Ability to use data visualization tools to showcase data for stakeholders A natural inclination toward solving complex problems especially related to return on marketing investment, promo efficiency, model explanability and forecasting Knowledge/experience with statistical programming languages including SAS, R, Python, SQL, etc., to process data and gain insights from it Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc. Good communication skills to build strong relations and team work with Sales Operations, Trade Analytics and Finance.Education / Certifications:
BS in a related field preferred (Engineering, Economics, Mathematics or Statistics).Job specific requirements:
Minimum 3 years of overall experience in analytics, business intelligence, revenue management or finance. Knowledge/experience with statistical programming languages including SAS, R, Python, SQL, etc., to process data and gain insights from it Programming knowledge in other languages such as SQL, or Visual Basics. Analytics skills such as statistical modeling, simulation and machine learning is a must. Experience handling large and complex data sets. Previous experience working with Data Warehouse, Data Lake and databases in general. Good communication skills to build strong relations and team work with Sales Operations, Trade Analytics and Finance. Good presentation skills. Proven proficiency in English, written and spoken.Travel requirements:
No relocation support available No Relocation support available
Business Unit Summary
Wacam is MondelēzInternational’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
RegularAnalytics & ModellingAnalytics & Data Science