<p>**Job Description - Senior Data Product &amp; Insight Analyst** </p><p> </p><p><strong>**Role Overview** </strong></p><p>We are looking for a seasoned data professional who can turn retail data into dollars. You will own the end-to-end data product life-cycle-from business question to automated insight-while acting as the bilingual bridge between our APAC markets and global headquarters.</p><p> </p><p><strong>**Key Responsibilities** </strong></p><p>- Act as product owner for retail analytics solutions covering assortment, pricing, promotion, inventory and store operations. </p><p>- Translate ambiguous business pain-points into clear user stories, data requirements and acceptance criteria (BA function). </p><p>- Build and maintain self-service dashboards in Power BI; automate daily/weekly flash reports that free the business from manual Excel work. </p><p>- Conduct root-cause and cohort analyses to explain sales gaps, stock-outs or promo ROI; present findings in plain business English to both regional VPs and overseas category teams. </p><p>- Partner with engineers to design scalable data models in SQL, ensuring single source of truth across ERP, POS and e-commerce feeds. </p><p>- Keep the pulse on retail KPIs; set alert thresholds that trigger proactive action before issues hit the P&amp;L.</p><p> </p><p><strong>**Must-Have** </strong></p><p>- 5+ years hands-on experience in data product management, retail analytics or business intelligence. </p><p>- Deep domain knowledge of retail levers: SKU, store clustering, promotional mechanics, OTB and inventory health. </p><p>- Fluent Business English-comfortable leading workshops and defending insights with native-speaking stakeholders in North America or Europe. </p><p>- Expert in Excel (advanced formulas, Power Query) and SQL (complex joins, window functions). </p><p>- Rapid-fire Power BI skills: can go from raw data to production-ready dashboard in &lt;48 hrs, including row-level security and automated refresh.</p><p> </p><p><strong>**Nice-to-Have**</strong> </p><p>- Exposure to DAX, Python or R for statistical modelling. </p><p>- Experience with cloud data platforms (Azure, AWS). </p><p>- Former buyer, merchandiser or store manager background.</p><p><em>By clicking 'apply', you give your express consent that Robert Half may use your personal information to process your job application and to contact you from time to time for future employment opportunities. For further information on how Robert Half processes your personal information and how to access and correct your information, please read the Robert Half privacy notice https://www.roberthalf.cn/en/privacy-statement. Please do not submit any sensitive personal data to us in your resume (such as government ID numbers, ethnicity, gender, religion, marital status or trade union membership) as we do not collect your sensitive personal data at this time.</em></p><hr /><p>点击"申请"，即表示您明确同意 Robert Half 可以使用您的个人信息来处理您的工作申请，并不时与您联系以获得未来的就业机会。 如需进一步了解 Robert Half 如何处理您的个人信息以及如何访问和更正您的信息，请阅读 Robert Half 隐私声明<a href="https://nam02.safelinks.protection.outlook.com/?url=https://www.roberthalf.cn/en/privacy-statement&amp;data=05|01|[email protected]|45960615caf741a897da08db12e2448b|16532572d5674d678727f12f7bb6aed3|0|0|638124535281002861|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000|||&amp;sdata=txey6FkFkoVyheBOucHzeYO1yTcFywlr7N4oX7M8axY=&amp;reserved=0">https://www.roberthalf.cn/en/privacy-statement</a> 。请不要在您的简历中向我们提交任何敏感的个人数据（例如身份证号码、种族、性别、宗教、婚姻状况或工会会员身份），因为我们此时不收集您的敏感个人数据。</p><img src="https://counter.adcourier.com/ZmFubnkubHVvLjg4MTM5LjEwOTIxQHJoaWNuLmFwbGl0cmFrLmNvbQ.gif">

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