Senior Data Analyst – Global Operations

Key Responsibilities:

• Analyze supply chain data to identify trends, inefficiencies, and opportunities for improvement.
• Build and maintain interactive dashboards using Power BI and Tableau to track key supply chain metrics (e.g., inventory levels, lead times, shipping performance).
• Develop and deploy statistical models and predictive analytics to optimize supply chain operations.
• Use SQL to extract, clean, and manipulate large datasets from Snowflake data repository.
• Apply Python or R for advanced data analysis, statistical modeling, and automation of routine tasks.
• Partner with cross-functional teams including procurement, logistics, and operations to understand business needs and translate them into data-driven solutions.
• Present complex data findings to senior leadership in a clear and compelling manner, using data storytelling techniques.
• Lead data-driven projects from inception through to delivery, ensuring alignment with overall business objectives.
• Ensure data accuracy and integrity by performing regular quality checks and maintaining best practices in data management.
• Collaborate with IT and data engineering teams to enhance data infrastructure and reporting capabilities.

Key Skills & Qualifications:

• Bachelor’s degree in Supply Chain Management, Data Science, Statistics, or a related field (Master’s or PH.D. preferred).
• 5+ years of experience in data analysis or a similar role, ideally with a focus on supply chain.
• Proficiency in SQL for querying and managing large datasets.
• Expertise in Power BI and Tableau for dashboard creation and data visualization.
• Advanced knowledge of Python or R for statistical analysis and modeling.
• Understanding of supply chain processes, logistics, procurement, and inventory management, etc.
• Excellent communication and data storytelling skills, with the ability to convey insights to both technical and non-technical audiences.
• Strong project management skills, with experience managing multiple initiatives simultaneously.
• Ability to collaborate with cross-functional teams, challenge where required, and work independently to drive business outcomes.
• Analytical and enthusiastic mindset with strong problem-solving abilities and attention to detail.

Bonus Qualifications:

• Experience with machine learning techniques, especially any applied to supply chain problems.
• Familiarity with ERP, MRP, or WMS systems.
• Experience with automation technologies
• Experience with Kinaxis platforms