Senior Data Analyst

At Richemont Americas, we aspire to reflect the ever-changing world around us. We are proud to employ talent from many different backgrounds, experiences, and identities to build a continually evolving, inclusive community where the diversity of our colleagues and clients is rich and celebrated. We believe when inclusion is fully embraced and empowered, creativity and knowledge emerge to deliver excellence, advancing the community that is uniquely Richemont Americas.

 

Senior Business Data Analyst

Richemont | Coral Gables, FL

Reports to: Head of Data & Analytics, Amercias

 

Role Overview

The Senior Business Analyst - Logistics will play a pivotal role in optimizing our supply chain and logistics operations across the Americas region through data-driven insights. This individual will be responsible for analyzing logistics data, identifying areas for improvement in efficiency and cost-effectiveness, and supporting strategic initiatives related to distribution, warehousing, transportation, and inventory management. The Senior Business Analyst will collaborate closely with logistics managers, operations teams, and other stakeholders to ensure seamless and optimized supply chain performance.

 

Key Responsibilities:

 

• Logistics Requirements & Analysis:

 

• 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.

 

• Develop and maintain a comprehensive understanding of the logistics data landscape within the Americas region, including data sources, data quality, and data availability.

 

• Data Analysis & Reporting (Logistics Focus):

 

• Perform advanced data analysis on logistics data, including transportation costs, delivery times, inventory levels, and warehouse performance, to identify trends, patterns, and opportunities for optimization.

 

• Develop and maintain dashboards and reports to track key logistics performance indicators (KPIs), such as on-time delivery rates, inventory turnover, and transportation costs per unit.

 

• 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.

 

• Project Support & Implementation (Logistics Focus):

 

• Provide analytical support throughout the project lifecycle, from initial planning and design to implementation and post-implementation review.

 

• Stakeholder Management & Communication (Logistics Focus):

 

• 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.

 

• Facilitate workshops and meetings to gather requirements and present findings related to logistics performance.

 

• Act as a liaison between business stakeholders and technical teams for logistics-related projects.

 

• Continuous Improvement (Logistics Focus):

 

• Stay up-to-date on industry trends and best practices in logistics and supply chain management.

 

• Identify opportunities to improve logistics data quality, processes, and reporting capabilities.

 

• Contribute to the development of data governance policies and procedures specific to logistics data.

 

 

 

 

 

Required Skills & Qualifications:

• 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, specifically related to logistics challenges.
• Proficiency in data analysis tools such as SQL, Excel, and Tableau (or similar data visualization software).
• Experience with data modeling and database concepts.
• Excellent communication, interpersonal, and presentation skills.
• Ability to work independently and as part of a team.
• Experience working with stakeholders at all levels of an organization.
• Strong understanding of logistics processes, including warehousing, transportation, distribution, and inventory management.

 

Preferred Qualifications:

• Master's degree in a related field.
• Experience in the luxury goods industry with a focus on logistics.
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) used for logistics data management.
• Experience with statistical modeling and machine learning techniques applied to logistics optimization.
• Knowledge of data governance principles and practices.
• Bilingual (English/Spanish or English/Portuguese)
• Experience with Warehouse Management Systems (WMS) and Transportation Management Systems (TMS).

 

Richemont offers a generous compensation and benefits package for eligible employees. Only candidates selected for further consideration will be contacted.

 

We Offer – United States

Employee wellbeing is a top priority at Richemont. We offer a comprehensive benefits program to support employees and their loved ones. Our core benefits include medical, dental, and vision programs. Health savings and flexible spending accounts are also available. The company offers income protection solutions including life insurance, disability benefits, and 401(k) with employer match. Understanding the importance of work-life balance, our total rewards include paid time off, a wellness reimbursement benefit, and access to the employee assistance program. Employees are encouraged to make a difference in their local communities with volunteer days off, supporting initiatives that drive change.

 

At Richemont, We Craft the Future!

Salary will be determined based on relevant skills and experience