Offres d'emploi de 1099 Maisons — Mode, Luxe, Beauté & Horlogerie

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.

Specialist Product Operations (under 3rd party employment)