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