Pricing Assistant (Paredes)

Description

Job Summary: A professional to analyze sales data, monitor market prices, build dynamic pricing models, and apply predictive models using machine learning. Key Highlights: 1. Integration into a solid and credible group with growth-oriented projects. 2. Professional and personal training and development. 3. A genuine opportunity for career advancement. **Responsibilities** --------------------- * Analyze historical sales data to identify patterns and trends. * Monitor market prices across different channels and locations. * Build, maintain, and update dynamic pricing models to support daily revenue management decisions. * Develop and apply predictive models using machine learning (demand forecasting, seasonality, promotional impact). * Support the fleet management and operations team in defining resource allocation and optimization strategies. * Create dashboards and reports to support management decision-making. * Contribute to defining commercial policies and promotional campaigns based on profitability analysis. **Profile** ---------- * Bachelor's or Master's degree in Industrial Engineering and Management. * Advanced Excel and SQL skills for large-scale data analysis. * Knowledge of programming languages (Python or R) applied to data analysis, statistics, and machine learning is highly valued. * Familiarity with data visualization tools such as Power BI, Looker, or similar. * Proficiency in English. **We Offer** -------------- * Integration into a solid and credible group currently implementing multiple growth projects. * Training and opportunities for professional and personal development. * A genuine opportunity for career advancement, aligned with performance and demonstrated competencies. * Competitive working conditions and social benefits (Health Insurance, Life Insurance, and access to a Pension Plan).