数据分析负责人Delivery Analytics Manager

1.数据基建 | Data Infrastructure： 主导D端数据仓库与指标体系建设，推动供需、运力、履约等核心数据资产的标准化与可靠性保障；搭建自动化数据管道，支撑业务高频决策需求。 English: Lead the design and development of the delivery-side data warehouse and metric system; standardize core data assets covering supply-demand, courier capacity, and fulfillment; build automated data pipelines to support high-frequency business decisions. 2.专项分析 | Deep-Dive Analytics： 围绕配送时效（ATA/On-time Rate）、骑手效能、取送路径优化等核心命题开展专项分析；识别业务瓶颈，输出可落地的改进建议。 English: Conduct deep-dive analyses on key delivery topics including ATA, on-time rate, courier efficiency, and routing optimization; identify business bottlenecks and deliver actionable improvement recommendations. 3.运力规划 | Capacity Planning 建立运力预测模型，支持供给端的节假日/促销/天气等动态场景的运力配置；与运营、算法团队协作推动规划落地。 English: Develop courier supply forecasting models for dynamic scenarios including peak events, promotions, and weather impact; collaborate with operations and algorithm teams to translate planning into execution. 4.目标追踪 | Goal Tracking 建立业务目标拆解与追踪机制，定期输出运营健康度报告（OKR/KPI看板）；推动跨职能对齐，确保关键指标达成。 English: Build goal decomposition and tracking mechanisms; regularly produce operational health reports (OKR/KPI dashboards); drive cross-functional alignment to ensure key metric delivery.