We are looking for a colleague with hands-on experience in AI applications, strong data analysis capabilities, and a solid understanding of marketing. This role will help drive the use of AI in marketing data analysis, including internal data, external industry and competitive information, insight generation, and data visualization, while also leading other business-oriented data projects.

Key Responsibilities

1. AI Applications

• Explore the application of generative AI in data analysis and insight work.
• Use AI to support data exploration, information classification, trend identification, anomaly detection, and insight generation.
• Develop reusable prompts, analysis templates, and AI output quality-check methods.
• Validate AI output for accuracy, completeness, and business relevance.
• Innovative mindset to leverage AI capabilities, for example build up internal data analysis tools/customized AI agent is a plus.

2. Marketing Data Analysis & Business Insights

• Understand marketing activities, business questions and translate them into clear analysis objectives. Experience in measuring marketing activity effectiveness is preferred.
• Independently lead data analysis projects from requirement understanding and analysis design to final delivery.
• Analyze different types of data and information to identify key trends, gaps, and potential opportunities.
• Combine data evidence with business context to generate objective, clear, and actionable insights.
• Ensure consistency and accuracy of metric definitions, analysis logic, and final outputs.

3. Dashboard and Visualization

• Translate complex analysis into management dashboards, topic-based dashboards, and visualized insights.
• Use Power BI or similar tools to improve metric presentation and analysis experience.
• Turn one-off analysis into reusable and continuously updated insight products.

4. Cross-Team Collaboration

• Work with brand teams, digital teams, and cross function partners to implement data insight projects for marketing efficiency improvements.
• Participate in requirement definition, solution testing, result acceptance, and continuous optimization.
• Clearly communicate insights, business impact, and action recommendations to business teams.