门店业务分析师（匠心浓醇）

该职位来源于猎聘 此岗位服务于上海匠岗位概要: Key Performance Area 负责门店运营数据的深度分析与洞察，监控核心 KPI 并推动业绩改善；精通 Quick BI 等业务系统逻辑，提升数据处理效率与自动化水平；基于数据发现成本优化机会，参与 SOP 梳理与营运改进项目，助力门店合规经营与效能提升。 Machine Translate: Oversee in-depth analysis and insights of store operational data, monitor core KPIs to drive performance improvements. Master the logic of business systems such as Quick BI to enhance data processing efficiency and automation levels. Identify cost optimization opportunities through data analysis, participate in SOP refinement and operational improvement projects, and support stores in achieving compliant operations and enhanced efficiency. 基本工作职能: Key Job Responsibility 1. 收集、整理并深入分析门店运营数据（销售、客流、损耗、PNL等），输出周期性分析报告，为业务决策提供数据支撑。 2. 参与门店经营目标的拆解与追踪，协助制定阶段性行动计划，确保目标达成路径清晰可行。 3. 监控关键业务指标（KPI）达成情况，及时预警偏差；对促销活动及新品推广进行全程追踪与复盘，优化后续策略。 4. 精通各类报表平台及业务系统（如 Quick BI 等）的底层逻辑，保障主数据质量及数据分析准确性；配合 IT 部门推进系统优化升级及新功能上线。 5. 挖掘 Dashboard 可视化呈现能力，提升营运团队的数据获取效率与分析自动化水平，赋能一线业务。 6. 协同跨部门团队，基于数据分析识别成本结构中的优化机会点，推动降本增效项目的方案落地。 7. 参与营运相关标准及部门 SOP 的梳理与更新，推动合规文化建设，提升运营规范性。 Machine Translate:

• Collect, organize, and conduct in-depth analysis of store operational data (sales, foot traffic, shrinkage, P&L, etc.), producing periodic reports to provide data-driven support for business decision-making.
• Participate in the breakdown and tracking of store business targets; assist in formulating phased action plans to ensure clear and feasible paths to goal achievement.
• Monitor the achievement of key business indicators (KPIs), providing early warnings for deviations; track and review promotional campaigns and new product launches throughout their lifecycle to optimize subsequent strategies.
• Master the underlying logic of various reporting platforms and business systems (e.g., Quick BI) to ensure master data quality and analytical accuracy; collaborate with IT departments to drive system optimization, upgrades, and new feature rollouts.
• Leverage Dashboard visualization capabilities to enhance the operations team’s data access efficiency and analytical automation levels, empowering frontline business teams.
• Collaborate with cross-functional teams to identify cost structure optimization opportunities through data analysis, driving the implementation of cost-reduction and efficiency-improvement initiatives.
• Participate in the refinement and updating of operational standards and departmental SOPs, fostering a culture of compliance and enhancing operational standardization. 工作经历/知识、技能和能力: Qualifications and skills: 1. 大专及以上学历，统计学、数学、计算机或商科相关专业优先； 2. 3年及以上零售或餐饮行业相关岗位经验，熟悉核心业务指标及其背后的业务含义； 3. 精通Excel（熟练使用数据透视表、函数、图表制作及基础宏操作），具备扎实的数据敏感度，能从数据中快速定位问题根源，具备良好的数据提取和处理能力，能使用Python等工具优先； 4. 逻辑分析能力强，善于从复杂现象中找到根源或者关键问题，并能给出有说服力的解决方案； 5. 责任心强，工作细致严谨，良好的跨层级、跨部门沟通协调能力。 Machine Translate:
• Associate degree or above; major in Statistics, Mathematics, Computer Science, or Business-related fields is preferred. 2. 3+ years of relevant experience in the retail or F&B industry, with a solid understanding of core business metrics and their underlying business implications.
• Proficient in Excel (including PivotTables, complex functions, charting, and basic macros); possess strong data sensitivity to quickly identify root causes from data trends. Strong data extraction and processing skills are required; proficiency in Python or similar tools is preferred.
• Strong logical analysis skills, capable of identifying root causes or key issues from complex scenarios and proposing persuasive, actionable solutions.
• Highly responsible, meticulous, and rigorous in work execution, with excellent cross-functional and cross-hierarchical communication and coordination skills.

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