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Global B2C Market Intelligence Manager
1.8-2.3万
人 · 本科 · 7年及以上工作经验 · 性别不限2024/10/25发布
五险一金补充医疗保险绩效奖金年终奖金定期体检

昆山市新南西路369号

公司信息
乐美包装(昆山)有限公司

外资(非欧美)/1000-5000人

该公司所有职位
职位描述
Main Responsibility:
1. B2B2C Account Based Market Analysis
Support the regional marketing head to perform research on high-value accounts to get a good snapshot of customer
2. B2C Marketing Support Service – Market Research Support
Conducting research analysis and prepare customized and montly reports on Category , Consumer Insights ,Market Overview
3. Data Collection and Reporting:
Gather and organize market data from various sources, ensuring accuracy and completeness. Generate reports and dashboards to present key insights to internal stakeholders.
4. Competitive Intelligence:
Monitor and analyze competitor activities, including product launches, pricing strategies, and market positioning, to provide actionable insights.
5. Customer Behavior Analysis:
Analyze B2B2C interactions and customer feedback to gain a deep understanding of end-user preferences, demands, and pain points.
6. Technology Utilization:
Leverage advanced technology, including artificial intelligence and data analytics tools, to enhance market intelligence efforts.
7. Collaborative Engagement:
Work closely with cross-functional teams, including Sales, Marketing, Product Development, and Operations, to integrate market intelligence insights into business strategies.
8. Database Maintenance:
Assist in the upkeep of the market intelligence database, ensuring data accuracy, relevance, and accessibility for the team.
9. Presentation and Communication:
Prepare and deliver clear and concise presentations of findings and insights to internal stakeholders, contributing to informed decision-making processes.

Qualifications:
1. Bachelor’s degree in Business, Marketing, Economics, or a related field (Master’s preferred).
2. At least 7 years of experience in market research, competitive intelligence, or related roles within the Packaging, Food, and Beverage Consumer industries.
3. Proficiency in data analysis tools and platforms.
4. Strong analytical skills and attention to detail.

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