Specialist Product Operations (1 year contract)

adidas

Hong Kong

Vor Ort

HKD 300.000 - 450.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

adidas in Hong Kong is seeking a Product Operations Analyst to ensure accurate product data, pricing, range readiness, and timely operating reporting across the go-to-market cycle. You will support the CTC Lead and cross-functional teams with reliable analysis, system execution, and on-time delivery of range and launch milestones.

You will manage data uploads for product, pricing and range, consolidate forecast and orderbook data, and prepare materials for range reviews and commercial

Qualifikationen

  • Diploma or university degree in business, merchandising, finance, sales, or related discipline.
  • Hands-on experience in product operations, merchandising operations, sales support, finance operations, or data reporting.
  • Ability to process, validate, analyze, and communicate numerical data clearly.

Aufgaben

  • Ensure accurate and timely product data, pricing, range readiness, and operational reporting across the GTM cycle.
  • Support the CTC Lead and cross-functional teams with reliable analysis and timely milestone delivery.
  • Manage product, pricing, and range data uploads, maintenance, and validation across systems.
  • Consolidate forecast data and prepare analyses for range reviews, forecasting, and commercial discussions.
  • Consolidate orderbook data and produce reporting extracts and channel analyses.
  • Prepare documentation for in-season price changes and airfreight requests in line with policies.
  • Prepare clear range presentations and materials for internal and external audiences.
  • Coordinate day-to-day Product team operational activities in the GTM calendar and flag risks to milestones.

Kenntnisse

Cross-functional collaboration
Data analysis
Excel
Attention to detail
English proficiency
System thinking
Learning agility

Ausbildung

Diploma or university degree in business/merchandising/finance/sales

Tools

Power BI
Python
Microsoft Excel

Jobbeschreibung

  • 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.
  • 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.
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