Parts & Accessories Business Intelligence Manager (englewood Cliffs,usa)
Ferrari S.p.A
Englewood Cliffs, New Jersey, US
On-site
Strategic analytics lead for aftermarket business
Transforming complex data into actionable insights
Enhance market and competitive intelligence
Ferrari S.p.A is seeking a Parts & Accessories Business Intelligence Manager in Englewood Cliffs, NJ, to lead strategic analytics for its aftermarket business. The role focuses on transforming data into actionable insights to drive growth and operational excellence, requiring strong analytical skills and a background in data-driven strategies
Job Summary
This position will be responsible to serve as the strategic analytics lead for the aftermarket business, transforming complex data into clear, actionable insights that drive growth, profitability, and operational excellence.
By centralizing fragmented data sources and strengthening the reporting infrastructure, the manager empowers cross-functional teams with real-time dashboards, predictive insights, and data-driven recommendations.
In order to succeed in this challenging role Bachelor’s degree with strong related experience.
Matching Summary
Match Score: 85
Ferrari S.p.A is seeking a Parts & Accessories Business Intelligence Manager in Englewood Cliffs, NJ, to lead strategic analytics for its aftermarket business. The role focuses on transforming data into actionable insights to drive growth and operational excellence, requiring strong analytical skills and a background in data-driven strategies.
Skills & Requirements
Must-have
Strategic analytics lead for aftermarket business
Transforming complex data into actionable insights
Enhance market and competitive intelligence
Centralize fragmented data sources
Strengthen reporting infrastructure
Develop actionable intelligence for parts assortment
Nice-to-have
Drive growth, profitability, and operational excellence
Deeper understanding of customer preferences
Enable data-driven pricing strategy
Improve demand forecasting accuracy
Enhance business readiness for digital transformation
Shift from reactive reporting to predictive insights