数据分析实习生 Data Analytics Intern(
招聘时间
即日起 至 2026-08-13
招聘单位
ZURU
所在地区
深圳
工作地点
深圳市罗湖区文锦渡口岸大楼B座
学历要求
本科
实习时长
每周4天，每天4小时
职责描述
岗位职责:
1. Support our Category Management team by collecting, cleaning, and validating datasets from multiple internal and external sources.
2. Generate structured analytical reports and performance reviews at the brand, item (SKU), and market level, translating data into clear commercial insights.
3. Synthesize findings into concise presentations or summary reports that highlight key drivers, risks, and growth opportunities for Category Management.
4. Write and execute SQL queries to extract, manipulate, and analyze structured data.
5. Perform exploratory data analysis to identify trends, performance drivers, and opportunities across product categories.
6. Apply analytical techniques to support forecasting, assortment optimization, and performance tracking initiatives.
7. Document analytical methodologies, reporting logic, and findings to ensure clarity and reproducibility.
8. Contribute to improving data processes, reporting frameworks, and analytics capabilities across both EDGE (FMCG) and Toys where relevant.
任职要求:
1. Proficiency in Python for data analysis (pandas, data cleaning, manipulation, basic visualization).
2. Working knowledge of SQL (joins, aggregations, filtering, grouping).
3. Strong analytical and problem-solving skills.
4. Understanding of basic statistical concepts.
5. Ability to clearly communicate analytical findings in English.
Preferred:
1. Experience with data visualization tools (Power BI, Tableau).
2. Familiarity with Python visualization libraries (matplotlib, seaborn, plotly).
3. Experience working with large datasets.
4. Interest in FMCG, category management, or consumer products.
5. Excel proficiency (pivot tables, formulas) as a supporting tool.
*该岗位接受2027届、2028届毕业生
*该岗位需要立即到岗，实习时长4个月及以上，每周实习4天及以上
1. Support our Category Management team by collecting, cleaning, and validating datasets from multiple internal and external sources.
2. Generate structured analytical reports and performance reviews at the brand, item (SKU), and market level, translating data into clear commercial insights.
3. Synthesize findings into concise presentations or summary reports that highlight key drivers, risks, and growth opportunities for Category Management.
4. Write and execute SQL queries to extract, manipulate, and analyze structured data.
5. Perform exploratory data analysis to identify trends, performance drivers, and opportunities across product categories.
6. Apply analytical techniques to support forecasting, assortment optimization, and performance tracking initiatives.
7. Document analytical methodologies, reporting logic, and findings to ensure clarity and reproducibility.
8. Contribute to improving data processes, reporting frameworks, and analytics capabilities across both EDGE (FMCG) and Toys where relevant.
任职要求:
1. Proficiency in Python for data analysis (pandas, data cleaning, manipulation, basic visualization).
2. Working knowledge of SQL (joins, aggregations, filtering, grouping).
3. Strong analytical and problem-solving skills.
4. Understanding of basic statistical concepts.
5. Ability to clearly communicate analytical findings in English.
Preferred:
1. Experience with data visualization tools (Power BI, Tableau).
2. Familiarity with Python visualization libraries (matplotlib, seaborn, plotly).
3. Experience working with large datasets.
4. Interest in FMCG, category management, or consumer products.
5. Excel proficiency (pivot tables, formulas) as a supporting tool.
*该岗位接受2027届、2028届毕业生
*该岗位需要立即到岗，实习时长4个月及以上，每周实习4天及以上
