Supply Chain Planner

at  Ana Luisa

Ana Luisa is a Brooklyn-based e-commerce jewelry brand that embraces the philosophy that high-quality jewelry shouldn’t cost the planet. We are committed to producing luxury that is accessible, priced fairly, and produced ethically. At Ana Luisa, we design, craft, and deliver exceptional everyday pieces for everyone, aiming to create a positive impact for both people and the planet.

ABOUT THE JOB

For our Cluj office, we are seeking a motivated and detail-oriented Downstream Supply Chain Planner to join our team. In this role, you will manage and optimize our downstream supply chain operations, ensuring that we meet customer demand efficiently while minimizing waste and costs. This position plays a critical role in our organization’s success by collaborating with cross-functional teams, analyzing data, and implementing strategic initiatives to improve overall supply chain performance.

WHAT YOU’LL LOVE ABOUT US:

• Friendly work environment
• Working for a New York brand
• Medical coverage at Regina Maria
• Gym subscription with 7Card
• Meal Tickets
• Bookster subscription
• Transportation reimbursement
• Hybrid work schedule (2 days from office, 3 days from home)
• Private pension fund (pillar III)
• Quarterly team events and presents from the company
• Work laptop and other needed equipment
• Professional development budget
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• Downstream Channel Replenishment
• Collaborate with cross-functional teams to forecast demand and optimize inventory levels.
• Analyze sales order data to identify trends, discrepancies, and opportunities for process improvement.
• Contribute to the development and implementation of strategies to optimize downstream operations.
• Preorder Process Coordination
• Monitor products at risk of going out of stock and inform relevant multichannel cross-functional teams.
• Manage preorder reporting and ensure alignment across all channels.
• ERP Material Master Data Maintenance
• Administer and ensure the accuracy of Enterprise Resource Planning (ERP) material master data.
• Review product master data to identify and address issues such as duplicate records, missing values, or inconsistent data formats.
• Provide essential support to other teams (Multichannel, Finance, Reporting, etc.) as well as for future integration projects.