Forecasting Analyst – Functional Analytics

Mondelēz International

. Execute the business analytics agenda with analytics team leaders .

Posted 10/28/2026part-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and operationalizing forecasting models for supply chain analytics, with a strong focus on integrating GenAI capabilities and ensuring compliance with data science standards. Proficient in translating complex model outputs into actionable strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

Forecasting Model DevelopmentGenAI Tools and TechniquesSupply Chain AnalyticsPython ProficiencyModel Monitoring and Productionization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Time Series ModelingDriver-Based ModelingCausal ModelingML-Based ForecastingDeep Learning ApproachesModel Interpretability TechniquesStatisticsHypothesis TestingA/B TestingMultivariate Analysis

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

PythonPySparkSQLMLflowTableauExcelAlteryxR

Industry Keywords

CocoaAgricultureMiningCommodity MarketsCPG IndustrySupply Chain Strategy

Tech Stack

Tools & technologies

CloudPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Execute the business analytics agenda with analytics team leaders
Develop, maintain, and enhance forecasting models supporting cocoa sourcing strategy, pricing decisions, and supply chain planning
Design, develop, and operationalize forecasting models for cocoa supply availability, demand planning, and price forecasting
Use models and algorithms to identify signals, patterns, and trends that drive long-term business performance
Ensure model integration and deployment comply with approved cloud architectures, MLOps practices, security protocols, governance frameworks, and data science standards
Partner with procurement, supply chain planning, finance, and commodity trading teams to align model outputs with business decisions
Implement model monitoring to detect forecast drift and performance degradation
Maintain comprehensive documentation of models, logic, and performance metrics
Explore and apply GenAI capabilities, including LLMs for market intelligence summarization and information retrieval from unstructured commodity reports
Translate complex model outputs into actionable strategy recommendations
Work with external analytics partners using analytics tools and processes

Requirements

What you’ll need

Bachelor’s degree in a Quantitative Discipline (Economics, Statistics, Mathematics, Operations Research, or STEM field)
Master’s preferred
Minimum 3 years of data science/AI experience, with a strong focus on forecasting and/or supply chain analytics
Minimum 3 years of experience in supply chain, agriculture, mining, or another related field
Experience in agriculture, mining, manufacturing and/or commodity markets, including cocoa, coffee, sugar, or agricultural commodities
Exposure to GenAI tools and techniques, including LLMs, RAG, and Transformers, particularly for unstructured data processing
CPG industry experience, particularly in raw material sourcing or supply chain strategy
Experience with time series modeling, driver-based and causal modeling, ML-based forecasting, and deep learning approaches
Experience with model interpretability and explainability techniques, including SHAP, LIME, partial dependence plots, and counterfactual explanations
Proficiency in Python, PySpark, and SQL
Experience with model productionization, CI/CD pipelines, model monitoring, and lifecycle management using MLflow or equivalent
Solid background in statistics, probability distributions, hypothesis testing, A/B testing, and multivariate analysis
Ability to articulate complex model outputs and recommendations to leaders and non-technical stakeholders
Knowledge of KPI indicators and scorecards
Knowledge of BI tools such as Tableau, Excel, Alteryx, R, and Python is a plus

Benefits

Comp & perks

Part-time employment
Hybrid model allowing remote work on certain days of the week
Diversity, equity and inclusion initiatives
No relocation support available