Italian Lifestyle Srl is an innovative SME working in the field of commercial and touristic exchanges between Italy and China. 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]