Senior Business Analyst

• Spearhead the integration of data analytics into supply chain strategies to forecast trends and optimize operations.
• Utilize predictive analytics to anticipate market changes and guide strategic procurement and inventory decisions.
• Champion data governance and integrity within the global supply chain, ensuring data consistency across all platforms and systems.
• Lead data-driven initiatives to enhance supplier performance, reduce costs, and improve supply chain resilience.
• Innovate with AI and machine learning technologies to transform raw data into actionable insights for competitive advantage.
• Foster a culture of continuous improvement by leveraging data analytics for process optimization and strategic planning.
• Develop and manage a digital ecosystem, including Digital Twin and Data Lake, establishing an integrated neural system for Global Supply Management (GSM).
• Create and maintain analytical reporting and dashboards, facilitate dynamic planning processes, and identify risks with potential resolutions.
• Identify process gaps, develop policies, and ensure alignment across partners.

• Proven experience in data management within supply chain or related field.
• Strong analytical skills with experience in RPA, analytics and visualization tools like Alteryx, Databricks, SAP Analytics cloud, Tableau, Power BI, Google Data Studio, Qlik sense.
• Excellent communication and collaboration abilities.
• Experience in managing complex datasets and deriving insights to support business decisions.
• Knowledge of supply chain processes, planning, and optimization strategies.

• Bachelor's or Master's degree in Data Science, Analytics, or related field for foundational knowledge in data analysis, statistical methods, and machine learning.
• MBA with a specialization in Supply Chain Management or Operations to understand business processes, supply chain logistics, and strategic management will be an added advantage.
• Certifications in Analytics and Visualization tools like SAP Analytics Cloud, Tableau, Power BI, or Alteryx for technical proficiency.

Levi Strauss