Deskripsi Pekerjaan
Join Shoeciety Inc. as an Operations Manager and lead our Accounting and Inventory Department to new heights of efficiency and accuracy. We're seeking a dynamic professional to oversee daily operations, optimize workflows, and ensure seamless integration of financial and inventory systems. This pivotal role requires a strategic thinker who can drive process improvements while maintaining strict compliance with company policies and industry standards. You'll collaborate cross-functionally to align inventory data with financial reporting, implement cost-saving initiatives, and enhance operational excellence. Shoeciety Inc. offers a collaborative environment where your expertise will directly impact our growth trajectory and customer satisfaction. If you're passionate about transforming operations and building high-performing teams, we invite you to apply and become instrumental in our continued success.
Tanggung Jawab
- Oversee daily operations of the Accounting and Inventory Department
- Implement and maintain efficient inventory management systems
- Coordinate with accounting and sales teams to ensure data accuracy
- Lead and mentor department staff, fostering a collaborative environment
- Analyze operational data to identify areas for improvement
- Develop and implement strategies to optimize inventory turnover and reduce costs
- Ensure compliance with company policies and regulatory requirements
- Prepare and present reports on operational performance to senior management
Kualifikasi
- Bachelor's degree in Business Administration, Accounting, or related field
- At least 3-5 years of experience in operations management, preferably in retail or e-commerce
- Strong knowledge of inventory management principles and practices
- Proficiency in ERP systems and inventory management software
- Excellent leadership and team management skills
- Strong analytical and problem-solving abilities
- Excellent communication and interpersonal skills
- Attention to detail and accuracy in financial and inventory data