A century-old reference in the automotive and mobility sector, the JAP Group represents 18 automobile brands across more than 60 sales and repair locations under **CARBY**, owns **MATRIZAUTO** (the country’s largest *megastore* for semi-new and used vehicles), and holds the Portuguese *master franchise* for the car rental company **SIXT**. Nationally, it is also a benchmark in the market for agricultural and industrial machinery and material handling equipment, through Entreposto Máquinas—the official representative of over 10 brands in this sector. In Africa, the Group operates in Angola, Kenya, Uganda, and Tanzania, where it is a growing force in the heavy-vehicle (MAN) and agricultural/industrial machinery markets. In Mozambique, under the Entreposto brand, it serves as a reference provider of mobility solutions—including light and heavy vehicles, agricultural and industrial machinery, and related services. Joining the JAP universe means committing to evolution and diversity across markets, customers, geographies, people, and teams. If you are seeking an attractive professional challenge, this project is for you! **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 managerial decision-making. \- Contribute to defining commercial policies and promotional campaigns based on profitability analysis. **Profile:** \- Bachelor’s or higher degree in Engineering, Mathematics, Economics, Management, Statistics, Data Science, or related fields. \- Advanced proficiency in Excel and SQL for large-scale data analysis. \- Programming language skills (Python or R) applied to data analysis, statistics, and machine learning. \- Experience with data visualization tools such as Power BI, Looker, or similar. \- Proficiency in English. \- Minimum of 3–5 years’ relevant experience in pricing, revenue management, business analytics, data analysis, or related roles. **We offer:** \- Integration into a solid and reputable Group currently implementing multiple growth initiatives; \- Training and opportunities for professional and personal development; \- Genuine career progression opportunities aligned with performance and demonstrated competencies; \- Favorable working conditions and social benefits in effect at the company (Health Insurance and Life Insurance). Type of position: Full-time Work location: On-site