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** **Education / Certifications:** * Degree in careers such as Economy, Actuary, Business Administration, Industrial Engineering or related fields. * Post graduate degree or certification in related areas like Business Analytics, Data Analytics, Data Science or an MBA is a bonus. **Job specific requirements:** * **Essential "Must\-Haves"** + Excellent communication and data base story telling skills. + Negotiation Skills, capable of persuasion, influence and with good interpersonal relations. + Proactive with horizontal and vertical leading skills. + Ability to solve business problems and identify Risks and Opportunities based in data using Analytics skills. + Extract strategic business insights from data and efficiently communicate them to stakeholders from different areas and several seniorities. + Advanced English * **"Plus" Factors (Nice\-to\-Haves)** + Knowledge leading/participating in predict models developing and forecasting process to estimate markets, shares, trends and use them to leverage the business. + Understand the applications and implications of Data Science and the impact on business decisions through evidence gathered from data. + Knowledge working with prescriptive and predictive tools like PYTHON, R, Alteryx. (not necessarily coding, but leading/participating and interpretating the output) + Knowledge using visualization tools like Power BI and DAX. + Experience in consumer goods companies + Knowledge of retail, pricing, market, consumer and shopper 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