[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All LVMH Louis Vuitton Moet Hennessy jobs](https://jobs.opennash.com/companies/lvmh-louis-vuitton-moet-hennessy/) · [Search jobs](/search/) LVMH Louis Vuitton Moet Hennessy · Chinese Mainland # BI & Analytics Manager/BI & Analytics Manager Chinese Mainland Manager or lead To be negotiated Data & Analytics Listed on LVMH Louis Vuitton Moet Hennessy’s official careers site. Posted July 30, 2026. Check that it is still open and apply there. [Apply on LVMH Louis Vuitton Moet Hennessy’s careers site →](https://www.lvmh.com/en/join-us/our-job-offers/TP03653) [OpenNash Jobs](https://jobs.opennash.com/) / [LVMH Louis Vuitton Moet Hennessy](https://jobs.opennash.com/companies/lvmh-louis-vuitton-moet-hennessy/) / BI & Analytics Manager/BI & Analytics Manager ## Job description ### Position Key Responsibilities - Business Partnership & Consulting - Partner with business stakeholders to understand strategic priorities, operational challenges and decision-making processes. - Translate ambiguous business questions into structured analytical approaches. - Proactively identify opportunities where data can improve business performance. - Facilitate data-driven decision making through structured problem solving and effective business storytelling. - BI & Dashboard Design - Design intuitive, scalable dashboards that support operational, tactical and strategic decision making. - Define meaningful KPIs, metrics and analytical frameworks across different business functions. - Build reusable reporting assets and standardized performance monitoring frameworks. - Continuously optimize dashboards based on user feedback and evolving business priorities. - Ensure reporting focuses on actionable insights rather than data presentation. - Data Analytics & Insight Generation Conduct deep-dive across multiple business domains, including: - Retail Performance - CRM Analytics - Merchandising & Product Performance - E-commerce & Omnichannel Typical areas include: - Sales performance tracking - Store performance benchmarking - Customer lifecycle analysis - Product affinity & cross-selling - Event performance reporting - Conversion funnel analysis - Business opportunity identification - Customer Data, Tagging & Information Layer Partner with business and tech teams to design scalable business taxonomies and tagging frameworks across enterprise data domains, including: - Client (profile, lifecycle, preferences, engagement, value) - Product (category, collection, style, attributes, occasion) - Store (location, format, traffic, event, client mix) - Client Advisor (expertise, portfolio, productivity, client interactions) - Campaign & Marketing Activities - Digital Touchpoints & Customer Journeys Responsibilities include: - Translate business concepts into standardized data definitions, metadata and semantic models. - Develop reusable business dimensions that improve reporting consistency. - Contribute to enterprise KPI definitions and data governance standards. - Improve analytical scalability through standardized business taxonomy and metadata management. - Data Analysis & Delivery - Write efficient SQL/Python to extract, transform and analyze large datasets. - Build reusable analytical datasets and reporting logic. - Perform exploratory data analysis to uncover trends and business opportunities. - Collaborate with tech team to improve data quality, availability and governance. - Develop scalable data visualization and reporting solutions. - Support automation of manual reporting and analytical processes. - Innovation Mindset - Identify opportunities to automate reporting and analytical workflows. - Explore AI-enabled analytics and next-generation Business Intelligence capabilities. - Continuously improve analytical methodologies, visualization standards and insight delivery. ### Key Requirements & Competencies - 5–8 years of experience in BI, Commercial Analytics or Data Analytics. - Strong understanding of retail, luxury or consumer business. - Ability to quickly understand business processes and translate them into analytical solutions. - Strong stakeholder management, project management and consulting capabilities. - Excellent communication and presentation skills in both Mandarin & English. - Advanced SQL proficiency (required). Python or R experience is a plus. - Strong experience with BI platforms (Power BI, Tableau or equivalent). - Familiarity with dimensional data modeling and data warehousing concepts. - Experience with cloud analytics platforms (Databricks, Dataiku, Snowflake, Alibaba DataWorks, etc.) is advantageous. ------------------------------------------- Key Responsibilities - Business Partnership & Consulting - BI & Dashboard Design - Retail Performance - CRM Analytics - Merchandising & Product Performance - E-commerce & Omnichannel Typical areas include: - Sales performance tracking - Store performance benchmarking - Customer lifecycle analysis - Product affinity & cross-selling - Event performance reporting - Conversion funnel analysis - Business opportunity identification - Client (profile, lifecycle, preferences, engagement, value) - Product (category, collection, style, attributes, occasion) - Store (location, format, traffic, event, client mix) - Client Advisor (expertise, portfolio, productivity, client interactions) - Campaign & Marketing Activities - Digital Touchpoints & Customer Journeys Responsibilities include: - Data Analysis & Delivery - Build reusable analytical datasets and reporting logic. - Develop scalable data visualization and reporting solutions. - Innovation Mindset - Experience with cloud analytics platforms (Databricks, Dataiku, Snowflake, Alibaba DataWorks, etc.) is advantageous. ## At a glance - Posted by the employer: Jul 30, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 73 days - Location: Chinese Mainland - Pay: To be negotiated[Apply on LVMH Louis Vuitton Moet Hennessy’s careers site →](https://www.lvmh.com/en/join-us/our-job-offers/TP03653) ## More jobs at LVMH Louis Vuitton Moet Hennessy ### [Data & AI tech Manager/Data & AI Tech Manager](https://jobs.opennash.com/companies/lvmh-louis-vuitton-moet-hennessy/jobs/aaed61b60f5b55df17bf/) Chinese Mainland ### [Assistant Manager, Client Care Service/Assistant Manager, Client Care Service](https://jobs.opennash.com/companies/lvmh-louis-vuitton-moet-hennessy/jobs/4f5a78519ff0fac0f104/) Chinese Mainland ### [Event Specialist/Event Specialist](https://jobs.opennash.com/companies/lvmh-louis-vuitton-moet-hennessy/jobs/33e7fbe5c987e19c1b46/) Chinese Mainland ### [HR Intern - 沈阳](https://jobs.opennash.com/companies/lvmh-louis-vuitton-moet-hennessy/jobs/a8b1b79e5ccc551d8cb0/) Chinese Mainland ### [PERSONALIZATION ADVISOR - Painter (Only for Persons with Disabilities)_Nanjing/个性化顾问-画师 (Angel Program) _天津](https://jobs.opennash.com/companies/lvmh-louis-vuitton-moet-hennessy/jobs/eab67d39437db4151937/) Chinese Mainland ## Similar jobs at other companies ### [Business Insights & Analytics - Data Analytics](https://jobs.opennash.com/companies/accenture/jobs/8a50ec12790c4c29ac06/) Accenture ### [Quant Analytics Senior Associate - Digital Analytics](https://jobs.opennash.com/companies/jpmorganchase/jobs/e2f9b1c928e7a4de6c36/) JPMorganChase · Bengaluru, Karnataka, India ### [Manager Analytics](https://jobs.opennash.com/companies/grasim-industries/jobs/1ad9deb340c93a2c485e/) Grasim Industries · Maharashtra ### [analytics engineer](https://jobs.opennash.com/companies/richemont/jobs/4ed3b3fda781adc6d442/) Richemont ### [Data Analytics (리더)](https://jobs.opennash.com/companies/sk-square/jobs/09e6ab18d5540c05f3f7/) SK Square · Seoul OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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