美团Keeta-Warehouse Equipment Manager-Qatar
任职要求
●Bachelor’s degree in Supply Chain Management, Operations, or related field. ●Strong understanding of inventory management software and tools. ● Ability to manage and distribute inventory across multiple locations. ● Attention to detail and problem-solving skills. ● Excellent communication skills, with the ability to provide clear feedback to centralteams. ● Strong organizational skills and ability to handle multiple tasks in a fast-pacedenvironment.
工作职责
1. Inventory Management: Oversee inventory management and ensure that all rider assets (equipment,gear, etc.) are stocked and available. Raise requests for additional stock based on usage patterns and the forecastedrider count. 2. Asset Distribution: Manage the distribution of rider equipment to all riders and fleet partners in atimely and efficient manner.Ensure that riders on the ground are fully equipped with all necessary items, suchas helmets, bags, and uniforms, based on the specific needs and rider count. 3. Quality Control: Regularly inspect equipment for quality and ensure that it meets Keeta’s standards. 4. Stock Audits: Perform regular stock audits to ensure the accuracy of inventory records. Address discrepancies and manage returns, replacements, or repairs of damaged or faulty equipment. 5. Training and Support: Provide necessary support and guidance to local teams on inventory processes,ensuring compliance with standard operating procedures (SOPs).
We are seeking a highly organized and proactive Warehouse and Equipment Manager to oversee the daily operations of our last mile logistics warehouse and manage all related equipment. The role ensures smooth inventory flow, optimal use of assets, and support for delivery operations through effective warehouse and equipment management.
1. Overseeing the full lifecycle of equipment inventory, including forecasting, storage, and distribution 2. Managing regional warehouses and overseeing the full lifecycle of equipment inventory, including forecasting, storage, and distribution 3. Managing equipment-related budgets, cost controls, and vendor relationships 4. Working with operations teams to forecast demand and coordinate local equipment distribution.
1. Managing regional warehouses and overseeing the full lifecycle of equipment inventory, including forecasting, storage, and distribution.管理地区仓库，全面负责装备库存的生命周期，包括预测、存储和发放。 2. Establishing and optimizing inventory control processes to ensure accurate stock levels and timely replenishment.建立并优化库存控制流程，确保库存数据准确、补货及时。 3. Designing and executing equipment issuance strategies to ensure all riders are properly equipped at the right time.制定并执行装备发放策略，确保所有骑手都能在合适时间配备所需装备。 4. Ensuring equipment quality and brand alignment through standardized procurement, inspection, and distribution processes.通过标准化的采购、检验和发放流程，确保装备质量和品牌一致性。 5. Working with city operations teams to forecast demand and coordinate local equipment distribution.与城市运营团队协作，预测装备需求并协调本地装备发放。 6. Managing equipment-related budgets, cost controls, and vendor relationships.管理装备相关预算、成本控制及供应商关系。 7. Maintaining records and reports on inventory levels, equipment loss/damage, and distribution metrics.维护库存水平、装备遗失/损坏和发放数据等相关记录与报告。
数据收集、回传及处理 1. 搭建完善的广告投放数据监测体系，实时收集、整理与分析广告投放数据，包括曝光量、点击量、转化率、成本等关键指标，深入洞察广告投放效果及用户行为路径； 2. 负责接收、回传、整合来自各大广告平台、公司内部业务系统等多渠道的数据，确保数据的完整性与准确性； 3. 对原始数据进行清洗，识别并处理数据中的缺失值、重复值和异常值，为后续分析提供高质量的数据基础； 4. 协助产研部门建立和维护数据仓库或数据库，优化数据存储结构，提高数据查询和调用的效率。 数据分析与挖掘 1. 对广告投放数据进行深度分析，挖掘数据中的潜在规律和趋势，为广告投放策略的优化提供数据支持； 2. 评估不同广告创意、投放策略的效果差异，为决策提供科学依据； 3. 及时发现投放中的低效，以及舞弊的流量，为公司降低损失。 4. 使用数据可视化工具将复杂的数据转化为直观易懂的图表，清晰展示广告投放效果及关键指标的变化趋势。定期撰写详细的数据报告，对广告投放效果进行全面解读，包括各项指标的完成情况、问题分析以及改进建议。 5. 积极协助产研部门优化投放工具和数据基建，提高效果广告的投放效率。 Data Collection, Transmission, and Processing 1. Establish and improve the ad performance monitoring system to collect, organize, and analyze advertising data in real time, including key metrics such as impressions, clicks, conversion rates, and costs, to gain in-depth insights into campaign effectiveness and user behavior paths. 2. Responsible for receiving, transmitting, and integrating data from multiple sources, including major ad platforms and internal business systems, ensuring data integrity and accuracy. 3. Clean raw data by identifying and handling missing values, duplicates, and anomalies to provide a high-quality data foundation for further analysis. 4. Assist product and engineering teams in building and maintaining data warehouses or databases, optimizing data storage structures to improve query and retrieval efficiency. Data Analysis and Mining 1. Conduct in-depth analysis of advertising data to uncover underlying patterns and trends, providing strong data support for optimizing advertising strategies. 2. Evaluate the performance of different ad creatives and delivery strategies to support data-driven decision-making. 3. Identify inefficiencies and fraudulent traffic in ad campaigns in a timely manner to help reduce company losses. 4. Use data visualization tools to transform complex data into clear and intuitive charts, effectively presenting trends and changes in key ad metrics. Regularly compile detailed data reports to comprehensively interpret advertising performance, including metric achievements, issue analysis, and improvement suggestions. 5. Actively support the product and engineering teams in optimizing ad delivery tools and data infrastructure to enhance the efficiency of performance advertising.