Specialist Product Operations

Contract Period: 1 year Key roles & responsibilities:

• Ensure accurate and timely product data, pricing, range readiness, and operational reporting across the seasonal go-to-market cycle.
• Support the CTC Lead and cross-functional teams through reliable analysis, accurate system execution, and timely completion of key range and launch milestones.
• Manage product, pricing, and range data uploads, maintenance, and validation across relevant systems.
• Consolidate forecast data and prepare analysis to support range reviews, forecasting, and commercial discussions led by the CTC Lead.
• Consolidate orderbook data and produce timely reporting extracts and channel analysis.
• Prepare documentation for in-season price changes, additional article requests, and airfreight requests in line with pricing, MOQ, and airfreight policies.
• Prepare clear range presentations and supporting materials for internal and external audiences.
• Coordinate day-to-day Product team operational activities in line with the GTM calendar, monitor progress, and flag risks to key milestones to the manager.
• Identify operational issues and suggest practical improvements to reporting, data quality, and team processes. Knowledge, Skills and Abilities:
• Ability to collaborate effectively within cross-functional teams and perform under pressure.
• Good analytical capability with the ability to interpret operational data and present clear findings to the CTC Lead and relevant stakeholders.
• Structured, organised, and process-oriented approach to managing multiple priorities and deadlines.
• Strong proficiency in Microsoft Excel and competence in Microsoft Office.
• High attention to detail, with an understanding of how data accuracy affects commercial decisions and execution.
• Strong learning agility and confidence in using and supporting internal systems.
• Fluency in Cantonese and Mandarin, with working proficiency in English. IT
• Microsoft Outlook and Microsoft Office: proficient.
• Microsoft Excel: strong proficiency.
• Power BI, data-mining tools, Python, or other data-analysis tools are preferred.

Education and Experience / Minimum Qualifications:

• Diploma or university degree in business, merchandising, finance, sales, or a related discipline; equivalent relevant professional experience will also be considered.
• Relevant hands-on experience in product operations, merchandising operations, sales support, finance operations, or data reporting.
• Demonstrated ability to process, validate, analyse, and communicate numerical and operational data clearly.