Merchandise Operations Specialist

This position reports into Snr Regional Manager, Merchandise Operations to deliver services relating to ranging process (pre-season and in-season), system maintenance, data maintenance, report generation and timeline management.

What You'll Do

• Plan and execute all operations related template, systems, data and key timelines
• Work collaboratively with global, markets and cross functional teams within the region for timely completion of tasks or communication of updates/changes
• Implement, document, and enforce key processes and calendars that involve diverse cross-functional partners
• To share project statuses, escalate risks and issues as needed to ensure visibility, ownership, and timely resolution
• Maintain accurate product line list, pricing and update of master data
• Manage integrity of information in system and database.
• Familiarity with DAX (Data Analysis Expressions) for creating business calculations in Power B
• Provide system support and training to the team for a smooth execution of seasonal processes
• Recommend workflow and process improvements, driving continual optimization and efficiency
• Other duties may be assigned.

What You'll Bring To The Table

• Degree/Diploma in Business, Marketing, or a related field
• 3-5 years of related work experience in Merchandising, Category Management or Planning is preferred
• Strong attention to detail and capable of managing multiple projects simultaneously.
• Demonstrate time management, prioritization and multi-tasking skills.
• Proven ability to think and act proactively, take responsibility and follow through.
• Manage tasks in a timely and efficient manner with the ability to meet high pressure deadlines.
• A team player with proven ability to work effectively with others and keep others on track.
• Excellent written and oral communication skills
• Proficient in Microsoft Office (especially Excel and Power point)
• Familiarity with DAX (Data Analysis Expressions) for creating business calculations in Power BI.
• Working knowledge of Power BI data modelling and DAX calculations