Description
Job Summary:
We are seeking a Pricing Assistant to analyze sales data, monitor market prices, and develop dynamic pricing models to support revenue management decisions.
Key Highlights:
1. Integration into a solid group with growth-oriented projects.
2. Professional and personal training and development.
3. A genuine opportunity for career advancement.
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With a century-long legacy in the automotive and mobility sector, Grupo JAP represents 15 automotive 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 master franchise for SIXT rent-a-car in Portugal.
Nationally, it is also a benchmark in the agricultural and industrial machinery and material handling markets, operating 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 an expanding force in the heavy vehicle (MAN) and agricultural and 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 seek an attractive professional challenge, this project is for you!
Pricing Assistant (Paredes)
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 supporting daily revenue management decisions.
Develop and apply predictive models using machine learning (demand, 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 analyses.
Profile
Bachelor’s degree in Industrial Engineering and Management.
Advanced Excel and SQL skills for large-scale data analysis.
Proficiency in programming languages (Python or R) applied to data analysis, statistics, and machine learning is highly valued.
Experience with data visualization tools such as Power BI, Looker, or similar.
English language proficiency.
We Offer
Integration into a solid and reputable group currently implementing multiple growth initiatives.
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).