SummaryThe Senior Business Data Analyst - Logistics at Richemont will play a pivotal role in optimizing supply chain and logistics operations across the Americas region through data-driven insights. This individual will analyze logistics data, identify areas for improvement in efficiency and cost-effectiveness, and support strategic initiatives related to distribution, warehousing, transportation, and inventory management. The role involves close collaboration with logistics managers, operations teams, and other stakeholders to ensure seamless and optimized supply chain performance.
Responsibilities- Elicit, document, and prioritize business requirements related to logistics and supply chain operations within the Americas region.
- Conduct in-depth analysis of logistics processes, including warehousing, transportation, distribution, and inventory management, to identify bottlenecks and inefficiencies.
- Translate business requirements into clear functional and technical specifications for logistics-related projects.
- Perform advanced data analysis on logistics data to identify trends, patterns, and opportunities for optimization.
- Develop and maintain dashboards and reports to track key logistics performance indicators (KPIs).
- Collaborate with data engineers and data scientists to ensure the accuracy and reliability of logistics data.
- Present findings and recommendations to logistics stakeholders in a clear and actionable manner.
- Provide analytical support throughout the project lifecycle.
- Build and maintain strong relationships with logistics managers, operations teams, and other stakeholders involved in the supply chain.
- Effectively communicate complex logistics concepts and data insights to non-technical audiences.
- Identify opportunities to improve logistics data quality, processes, and reporting capabilities.
Requirements- Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
- 5+ years of experience as a Business Analyst, Data Analyst, or similar role with a strong focus on logistics and supply chain operations.
- Strong analytical and problem-solving skills related to logistics challenges.
- Proficiency in data analysis tools such as SQL, Excel, and Tableau.
- Experience with data modeling and database concepts.
- Excellent communication, interpersonal, and presentation skills.
- Ability to work independently and as part of a team.
- Strong understanding of logistics processes, including warehousing, transportation, distribution, and inventory management.
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