• 今日汇率:1欧元= 8.307818元人民币

  • CHINESE DATA ANALYST

    lishachina 发表于:2024-11-13 IP属地:意大利 罗马市 32220    一键分享到朋友圈

    薪资面议/月

    广告编号:Z41885

    信息分类: 其它职位 工作性质: 全职
    工作地点: 未设置 薪资水平: 薪资面议/月
    招聘人数: 1人 学历要求: 硕士
    工作年限: 1-2年 联系人:   联系我时请说是在奋大看到的。
    有效天数: 已过期 137 天 联系电话: 348******1 [查看完整号码]

    过期或成交后将自动隐藏联系方式

    温馨提示: 此广告发布IP属地为意大利,真实性较高![骗术曝光]
    We are seeking a Chinese mother tongue highly analytical and forward-thinking Data Analyst to join our team, focusing on leveraging data from Chinese social media platforms to drive strategic insights and support our marketing and sales efforts. This role is ideal for candidates with a strong foundation in data science, engineering, or statistics, who have native proficiency in Chinese and familiar with the digital landscape in China willing to proactively contribute to a leading, innovative company. Responsibilities: Data Mining and Collection: Utilize advanced data extraction tools and techniques to harvest large datasets from various Chinese social media platforms - 微分析,聚光,蒲公英,微信广告 Quantitative Analysis: Apply statistical models and quantitative methods to analyze complex datasets, identifying patterns, trends, and correlations. Insights Generation: Translate data findings into actionable business insights, focusing on market trends, consumer behavior, and campaign performance. Reporting: Develop comprehensive reports and presentations that communicate strategic insights to stakeholders, enhancing decision-making processes. Cross-Functional Collaboration: Work closely with the marketing and sales teams to implement data-driven strategies that align with company objectives. Qualifications: Bachelor’s or Master’s degree in Engineering, Mathematics, Statistics, or a related field Proven experience in data analysis or a related field Exceptional ability in handling and analyzing complex datasets and converting them into the strategic advice. Mandatory Native proficiency in Chinese with excellent verbal and written communication skills in English and Italian Desirable not mandatory: Expertise in statistical software (e.g., R, SAS, SPSS) and programming languages (e.g., Python, SQL). Please do send your CV and a short email explaining why you are the right candidate for the job at [email protected]

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