Summary from listing
The role analyzes historical sales data, monitors market prices, builds and maintains dynamic pricing models, develops predictive machine learning models for demand, seasonality, and promotion impact, supports fleet allocation and resource optimization, creates dashboards and reports, and contributes to commercial policies and promotional campaigns. It requires an advanced degree in Engineering and Industrial Management, advanced Excel and SQL knowledge, programming experience with Python or R, data visualization skills, and English proficiency. Benefits include health insurance, life insurance, and pension-plan access.
