BUSINESS INTELLIGENCE IN THE AUTOMOTIVE INDUSTRY

Role: Head of Analytics
Duration: Over 2 Years

Key Contributions:

Optimising Operations: I worked closely with manufacturing and supply chain teams, using BI tools to identify inefficiencies and streamline processes. By analysing production data and supply chain metrics, I helped reduce costs and improve turnaround times, contributing to smoother operations and better resource management.

Improving Customer Insights: I used analytics to segment customer data, helping the company better understand purchasing patterns and preferences. This enabled the marketing team to run more targeted campaigns, resulting in higher engagement and increased sales.

Forecasting & Sales: I implemented advanced forecasting models to predict market demand, helping the sales and production teams align their strategies accordingly. These insights helped reduce stockouts, optimise inventory levels, and ensure that production matched demand, resulting in improved sales efficiency.

Predictive Maintenance: By applying predictive analytics, I helped identify maintenance needs before equipment failures occurred. This proactive approach led to reduced downtime in production and improved the lifespan of manufacturing equipment.

Cross-Functional Collaboration: I worked with teams across multiple departments—such as finance, operations, and sales—to ensure that BI solutions were integrated into their daily activities. This collaboration led to a more data-driven culture across the business and better alignment on goals.

The Impact:
During my time in the automotive industry, I had the privilege of working on projects that transformed how data was used across the business. From improving operational efficiency to driving better customer engagement, the solutions I helped implement had a direct impact on the company’s bottom line. The experience deepened my passion for leveraging data to drive tangible results, and it’s something I bring into every project I work on today.