M. Dias Branco

Data Analyst

• Develop and apply analytical, statistical and predictive models focused on the commercial business, using data science techniques to generate insights, forecasts and recommendations that support strategic decisions and improve the performance of the sales area.
• Collect, integrate and prepare large volumes of commercial data from multiple sources (ERP, CRM, internal systems and external databases), using Python, SQL and Power Query, ensuring data quality, consistency and governance.
• Perform exploratory data analysis (EDA) to identify patterns, trends, customer behaviors, opportunities and risks in commercial performance.
• Develop, train, evaluate and maintain statistical and machine learning models applied to the commercial context, such as sales forecasting, demand analysis, customer/product segmentation and clustering, churn models, profitability and purchase behavior.
• Apply time series, regression, classification and clustering techniques using libraries such as pandas, numpy, scikit-learn and statsmodels.
• Create and validate performance metrics and analytical indicators, ensuring alignment with business rules and strategic objectives.
• Develop simulations and scenarios to support budgeting decisions, commercial targets, market analysis and sales planning.
• Automate analytical pipelines and modeling routines, from data ingestion to generation of analytical outputs.
• Support communication of results through analytical visualizations and Power BI dashboards, focusing on model validation and interpretation (not just reporting).
• Translate technical results and complex models into clear, actionable, business-oriented insights to support managers and commercial teams.
• Work closely with business, technology and BI teams to advance the analytical maturity of the commercial area.
• Drive continuous improvement of analytical processes by adopting best practices in version control, documentation, reproducibility and model monitoring.

Commercial Data Analyst II

Pricing Analyst

• Analyze the sales team's results and performance across all dimensions (volume, margin, product family, delinquency, etc.)
• Lead discussions with the Manager regarding budget variances
• Present your area's results to the commercial team
• Monitor sales budgets, expenses, returns and sales forecasts for your area
• Monitor the commercial staffing levels
• Support and inform the sales team on routine matters such as product discontinuations, performance analyses, sales reports, client bulletins, etc.
• Collect data and support analysis of sales processes and PDCA cycles
• Implement sales targets in the commercial system
• Open and follow up on legal requests and pricing requests (product operating result) as requested by the manager
• Comply with sustainability, quality management, food safety, environmental, and occupational health and safety requirements.

Commercial Data Analyst II

Commercial Analyst II