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SRM- Data ,Business & Social
4-6万
人 · 本科 · 5年及以上工作经验 · 性别不限2025/05/15发布

上海市徐汇区虹桥路1号港汇中心写字楼1座32楼

公司信息
妮维雅(上海)有限公司

外资(欧美)/500-1000人

该公司所有职位
职位描述
Main Responsibility:
Centralize and Govern Full - funnel Data
1) Be responsible for centralizing data from full funnel, and establish an effective data governance framework to ensure the accuracy, integrity, and consistency of data.
2) Develop data management strategies and coordinate data requirements from different departments to ensure the orderly integration and storage of data.

Develop and Maintain Full - funnel Dashboards
Develop and maintain full - funnel dashboards. Provide data support for decision - making at different levels through intuitive data visualization.

Track Full - funnel KPIs and Identify Anomalies
Continuously track key performance indicators (KPIs) of the full - funnel. Have a deep understanding of the business implications and correlations behind each KPI.

Consumer Journey Mapping
Have a deep understanding of the entire process of FMCG products from awareness, interest, purchase to loyalty building, and map the end - to - end consumer journey, including all relevant touch points.

Social Listening
Derive valuable insights from massive social data, such as consumers' attitudes towards brands and products, competitors' dynamics, market trends, etc., and transform these insights into executable marketing strategies.


Your Profile:

1) Have an in - depth understanding of the business model of the FMCG industry and consumer behavior and have a profound understanding of full - funnel marketing.
2) Be proficient in collecting, cleaning, and integrating data from various sources within this scope. Demonstrate accuracy and efficiency in handling data to support basic data - driven tasks and reporting.
3) Have a good understanding of relevant technologies and tools to streamline data - related processes.
4) Be capable of deep - diving into different topics, such as key words, KOLs (Key Opinion Leaders),
5) Be able to conduct pre - analysis, understanding what works well and what does not in existing data and marketing activities.

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