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美团Keeta-Senior Data Analysis Specialist (数据分析专家)

社招全职5年以上Keeta地点:利雅得状态:招聘

任职要求


1.Bachelor’s degree or above in Mathematics, Economics, Computer Science, or related fields (advanced degree preferred).

2.5+ years of experience in business/data analysis, preferably at top-tier internet companies or consulting firms.

3.Technical proficiency in SQL, Python, and BI tools.

4.Exceptional structured problem-solving skills with strong logical/critical thinking.

5.Expertise in statistical analysis and proven track record of driving business improvements through data insights.

6.Strong ownership, communication skills, and ability to lead projects in multicultural environments.

1.本科及以上学历,数学、经济学、计算机等相关专业背景优先;

2.5年及以上商分、数分等相关工作经验,有头部互联网公司或咨询公司经历者优先;

3.熟练掌握SQL基本功,擅长使用Python和BI工具;

4.优秀的逻辑思维能力,能够对问题进行结构化分析和拆解,具备独立思考、思辨的能力和习惯;

5.熟练掌握常用的数据分析工具,具有扎实的数理统计基本功,过往有通过分析推动业务迭代优化,拿到业务结果的成功经验;

6.有较强的责任心,优秀的沟通能力和解决问题的能力,具备良好的团队协作、沟通和项目推进能力。

具备以下条件优先
外卖、快消行研经验优先

工作职责


1.Lead merchant-side analysis for food delivery business, supporting frontline operations in business understanding, marketing campaigns, product experience optimization, merchant research, and strategy formulation to enhance operational efficiency.

2.Identify business needs and build scalable indicator systems for scenarios including performance analysis, business monitoring, and team management. Design and maintain data dashboards and data products to improve data accessibility for cross-functional teams.

3.Conduct deep-dive analysis using advanced analytics tools/methods to uncover actionable insights, identify growth opportunities, and address critical business challenges to drive optimization.

4.Deliver thematic studies to provide data-driven recommendations for executive decision-making, product roadmaps, and business strategies.

5.Collaborate with cross-functional teams (Operations, Product, Engineering, Algorithms) to execute data-driven strategies and ensure measurable business impact.

1.负责外卖业务商家侧分析,支持前线的业务理解、营销活动、产品体验、商家研究、策略制定等,提升整体运营效率;

2.洞察业务需求,建设在经营分析、业务监控、团队管理等不同场景下的指标体系,搭建和维护数据看板,建设数据产品,提升前后线团队的数据使用效率和便捷性;

3.深入理解业务,运用数据分析工具和方法,挖掘数据背后信息,产生业务洞察,发现机会点,回答业务的关键问题,驱动业务优化迭代;

4.通过专题分析,对具体业务问题进入深入分析,为公司运营决策、产品方向、业务策略提供专业意见和信息输入;

5.与前线、运营、产品、算法、技术等团队协同合作,推进策略的落地执行,为业务结果负责。
包括英文材料
SQL+
Python+
学历+
数据分析+
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