JOB PURPOSE
This role is responsible for supporting the design, development and implementation of data analytics capabilities and platforms for China entity, in close collaboration with global headquarters team. The position will provide daily data analytics business support for China business, track cutting-edge market and technology trends in AI and data analytics, formulate the long-term roadmap fChina data & AI capability platform,drive the phased implementation of related projects.
WHAT WILL YOUR MAIN RESPONSIBILITIES BE
1. Cooperate with the global headquarters team to participate in the design, construction, optimization operation of data analytics capabilities enterprise-level data platforms fChina subsidiary, ensuring alignment with global standards local business needs.
2. Undertake daily data analytics business support fChina operations, including data analysis, report development, insight mining, data consultation problem-solving fsales, marketing other core business functions.
3. Monitresearch the latest technological development industry application trends of data analytics AI, conduct competitive analysis best practice benchmarking.
4. Develop the medium long-term roadmap fChina’s data analytics AI capability platform, define phased objectives, priorities implementation plans, promote the landing iteration of AI data capabilities.
5. Collaborate cross-functionally with global teams, local IT, business units external partners (if applicable) to ensure smooth delivery of data AI projects.
JOB REQUIREMENTS
1. Bachelor’s degree above in Statistics, Mathematics, Computer Science, Data Science, Business Administration related fields.
2. 5+ years of relevant working experience in data analysis enterprise-level data platform management in multinational corporations (MNCs).
3. 3+ years of working experience in data analytics within the consumer goods (FMCG/retail) industry.
4. Solid understanding practical experience in data analytics scenarios fsales marketing functions, including sales analysis, consumer insights, marketing effectiveness, channel analysis, etc.
5. In-depth knowledge hands-on experience in AI technologies, applications implementation, familiar with mainstream AI tools, algorithms application scenarios.
6. Fluent in written spoken English (capable of daily communication, report presentation cross-border collaboration).
7. Excellent logical thinking, data sensitivity, project execution cross-team communication skills; proactive, result-oriented able to work under pressure.
8. Preferred: Previous working experience in third-party consulting, data service vendors AI solution providers.
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