At **Perfect Choice**, we are looking for a **Data Analyst / Focused on the Commercial Area (Retail, B2B, Wholesale)** What We Offer: * Benefits Exceeding Legal Requirements (Savings Fund, Year-End Bonus, Vacation Bonus, Major Medical Insurance). * Job Stability and a Professional Work Environment * Performance-Based Bonuses. * Schedule: Monday to Friday (8:00 am to 5:30 pm) * Subsidized Cafeteria Service * Gross Monthly Salary * Biweekly Payment Profile of the Talent We Are Seeking: \* Bachelor’s Degree in Industrial Engineering, Actuarial Science, Mathematics, Business Administration or related field. \* Minimum 3 years of experience in CPFR-related roles, specifically within the commercial area. \* Knowledge of: \- Advanced Excel (Pivot Tables, Complex Formulas, Macros, etc.) — An advanced exam will be administered. \- Demand Forecasting Methodologies (Statistical, Historical, and Seasonal Models). \- Mandatory: Google Suite / Google Workspace. SQL and Data Analysis Tools (Power BI, Looker, Qlik, etc.). \- Familiarity with Supply Chain Processes, Planning, and Replenishment. \* Competencies: Analytical Thinking and Problem-Solving Orientation, Effective Communication Across Multiple Internal Departments and External Stakeholders, Results-Driven and Continuous Improvement Mindset, Proactivity and Time Management, Collaborative Work. Responsibilities: \- Collect and consolidate sell-out sales data and inventory information for each Wholesale, Retail, and E-commerce platform customer. \- Maintain, for each customer, detailed information on pending orders as well as the 4-month forecast to develop collaborative demand forecasting models and ensure forecast compliance based on current inventory levels and in-process production orders. \- Analyze sales velocity trends per product to issue alerts to the sales force and anticipate potential issues: inventory imbalances, stockouts, slow-moving items, product discontinuations, etc. \- Analyze inventory levels and aging per product across Wholesale and Retail accounts. \- Collaborate with internal teams to develop data-driven sales forecasts based on historical data, promotions, and seasonality, in order to monitor and adjust plan adherence. \- Plan demand for new products using historical data when replacing an existing product, or leveraging market potential information when launching a completely new product. Job Type: Full-time Salary: $20,000.00 \- $25,000.00 per month Benefits: * Discounts and Preferential Pricing * Major Medical Expense Insurance * Life Insurance * Discounted Cafeteria Service Experience: * Microsoft Excel: 3 years (Mandatory) * Power BI: 3 years (Mandatory) Work Location: On-site Employment