Business Analytics Manager

Job Overview

• Foster effective collaboration with diverse teams across various functions and regions.
• Analyze complex supply chain data sets to develop valuable insights and recommendations for enhancing operational efficiency and cost optimization.
• Collaborate with cross-functional teams to identify improvement opportunities and implement data-driven solutions that align with strategic objectives.
• Utilize supply chain analytics tools, models, and reports to support decision-making processes, enhance visibility, and improve forecasting accuracy.
• Conduct statistical analysis to evaluate supply chain performance, identify key performance indicators (KPIs), and monitor progress towards operational goals.
• Utilize data visualization techniques to develop/ collaborate with Data Viz team to create insightful dashboards for stakeholders, enabling effective communication of supply chain performance metrics.
• Stay updated with emerging trends, technologies, and best practices in supply chain management and apply them to drive innovation and performance improvement.
• Conduct in-depth analysis of key supply chain processes, such as demand forecasting, inventory management, and logistics, to identify areas for optimization.

What your background should look like:

• Proven 8+ years of  experience in data analysis, business intelligence, or supply chain analytics, preferably in the automotive industry.
• Proficiency in statistical analysis tools like  Python, Advance excel, as well as data visualization tools such as Tableau or Power BI.
• Strong knowledge of supply chain management concepts, including inventory management, transportation, procurement, and demand forecasting.
• Solid understanding of database structures, data modeling, and data management principles.
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets and extract actionable insights.

Competencies