Empresa: Mondelez
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: • 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 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 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 plus We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure there presentation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic- Racial, Women and LGBTQIAP+, in addition to being part of MOVER– Movimento pela Equidade Racial. About the Position Working within the Insights & Performance area, this role combines analytical vision with business thinking to turn numbers into actionable directions that directly impact the company's competitiveness and growth. If you are passionate about data, have the curiosity to understand the "why" behind the numbers, and want to influence decisions in a dynamic and collaborative environment — this role is for you. Key Responsibilities • Forecasting & Strategic Translation — Lead the forecasting and performance front, translating models developed by external partners into actionable insights that feed local strategy and guide business priorities. • Share Estimation & Competitive Intelligence — Lead market share estimation processes, developing and maintaining models that enable agile readings of share and competitive dynamics, anticipating movements and opportunities in the competitive landscape. • Performance Deep Dives — Conduct in-depth analyses exploring the key performance drivers — share, distribution, pricing, mix, and competitiveness — generating recommendations that feed strategic decision-making forums. • Multi-Source Data Integration — Serve as the focal point for integrating and interpreting continuous data sources such as Nielsen, Scanntech, and household panels, ensuring consistency, governance, and robustness in readings. • Business Connection — Connect analyses and forecasts to real business needs, acting as a strategic partner to cross-functional stakeholders and delivering clear, objective, and impact-oriented recommendations. Requirements • Academic Background — Bachelor's degree in quantitative fields such as Engineering, Statistics, Mathematics, Economics, Computer Science, or related areas. • Languages — Advanced English (fluent oral and written communication for interaction with global stakeholders and external partners). • Experience with data analysis and modeling tools. • Strong analytical skills with a results-driven mindset. • Communication and synthesis skills to translate complex data into clear narratives for diverse audiences. • Experience with market data sources (Nielsen, Scanntech, household panels) is a plus. • Proficiency in Excel and data analysis, visualization, and manipulation tools; knowledge of Power BI, SQL, or analytical programming languages is a plus. What Makes This Position Special • 🔎 Strategic Visibility — Your analyses directly influence leadership decisions and shape competitive strategy. • 🤝 Cross-Functional Exposure — You will be the connection point between Marketing, Sales, Finance, and Supply, broadening your business perspective. • 📊 Cutting-Edge Data — Access to robust databases and analytical tools that allow you to explore the competitive landscape in depth. • 🚀 Real Impact — Here, data doesn't stay in reports — it turns into action. Mondelez International is attentive to the future of work and values the well-being of our people, seeking to provide the best experiences. Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week. 

 No Relocation support available Business Unit Summary Mondelēz Brasil is Mondelēz International’s fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians’ favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth-watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way. 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