小鹏汽车可视化专家 Visualization Expert (GZ)
任职要求
1、统招本科及以上学历,工业设计、数字媒体艺术、动画设计、计算机图形学或相关专业,5年以上汽车/工业设计可视化经验,完整参与过至少4款量产车开发流程; 2、精通主流3D渲染工具(如VRED、KeyShot、Blender、3ds Max等至少两种); 3、掌握Polygon建模与CAD数据优化处理…
工作职责
1、利用3D渲染软件(如VRED、KeyShot、Blender等)创建高逼真度的汽车外观与内饰可视化效果图及动画; 2、配合造型设计师,将草图、CAS数据转化为可用于评审的数字化模型渲染方案; 3、开发实时可视化解决方案(如Unity/Unreal Engine),支持VR/AR虚拟评审及沉浸式设计体验;优化材质、灯光、环境场景设置,确保视觉效果符合工程可行性与品牌审美标准; 4、参与前瞻性可视化技术研究(如AI辅助渲染、实时光线追踪等),推动团队技术升级; 5、输出用于设计展示、市场宣传及高层决策的高质量可视化内容。
1. 对B端经营分析体系的质量负责,完善输入、输出指标,迭代会议与报告形式,提升信息密度、准确性与及时性。 2. 对B端各项指标口径的准确性、一致性、可得性负责,围绕业务目标制定并迭代合理且严谨的指标口径,并与数据产品、商分保持高度共识。 3. 配合业务策略方向输出专项报告,包括复杂问题的研究、关键策略的复盘等。为业务决策提供高质量的信息输入。 4. 为B端团队建设数据看板,支撑业务日常看数需求;配合产品运营推动常用看板的产品化与可视化。 5. 搭建团队,招募并培养有行业洞见、有专业深度的分析师团队。 1. Responsible for the quality of the B-side business analysis system, improving metrics, iterating meeting and report formats to enhance information density, accuracy, and timeliness. 2. Responsible for the accuracy, consistency, and availability of B-side metrics, formulating reasonable and rigorous metric standards, and maintaining high consensus with data products and business divisions. 3. Produce specialized reports, including project pre-research and key strategy reviews, providing high-quality information input for business decision-making. 4. Develop data dashboards for the B-side team to support daily data needs; collaborate with product operations to drive the productization and visualization of dashboards. 5. Build the team, recruit and develop an analyst team with insights and professional depth.
1. 以骑手入职培训通过率、客户投诉率、客户满意度、骑手服务准时率为目标导向来设计与优化骑手培训体系。包含制定入职培训、常规培训及复训的整体规划与节奏;明确每个培训模块的目标、内容、形式及评估方式;结合外卖行业最佳实践,持续迭代培训大纲。 2. 定期开展骑手培训,宣导规则更新或者骑手日常行为准则,管理骑手装备等服务资产,确保日常运营,同时维护Keeta品牌形象 3. 组织实施培训落地计划,包含编制培训计划,包含培训课表、讲师安排、场地及线上工具;统筹线上线下培训班型、实操模拟等环节设计;确保培训内容丰富且可执行。 4. 培训内容开发与管理包含:应用操作(骑手APP功能演示、接单流程、异常反馈),合规要求:身份审核、车辆及安全证件、红线行为界定;服务体验:沟通话术、着装礼仪、礼貌用语、服务SOP、客户取餐准时率;安全与履约:交通安全、食品保护;奖惩机制:通过率与骑手考核挂钩、违规处罚流程、激励奖励方案。 5. 设计考核测试,包含闭卷/线上测验、模拟演练、实操观察;汇总培训反馈、课堂评分、运营数据,形成月度/季度分析报告,推动改进。 6. 跨部门协作与推进,与履约体验运营、3PL管理、客服等团队紧密协作,快速响应业务需求,推进各地培训落地;培养内部培训师团队(Rider Trainer/Patroller),提升培训覆盖能力。 1. Design and optimize the rider training system with key metrics-driven goals—new hire training pass rate, customer complaint rate, customer satisfaction, and rider on-time service rate. Develop overall plans and pacing for onboarding training, regular training, and refresher courses. Define objectives, content, delivery formats, and evaluation methods for each training module. 2. Regularly conduct rider training, promote rule updates or daily behavior guidelines for riders, manage rider equipment and other service assets, ensure daily operations, and maintain Keeta brand image 3. Organize and implement training roll-out plans. Prepare detailed training schedules, assign instructors, secure venues, and set up online tools. Coordinate design of online and offline class formats, hands-on simulations, and other learning activities. Training contents include Application operations, Compliance requirements, Service experience, Safety and fulfillment, and Reward and penalty mechanisms. 4. Design assessments and evaluations. Create closed-book and online quizzes, simulation drills, and practical observation checklists. Collect training feedback, class ratings, and operational performance data. Produce monthly and quarterly analysis reports to identify gaps and drive continuous improvement. 5. Drive cross-functional collaboration and training expansion. Partner closely with fulfillment-experience operations, 3PL management, and customer-service teams to respond rapidly to business needs. Manage regional roll-out of training programs. Cultivate and certify an internal trainer (Rider Trainers/Patrollers) to scale training coverage. 6. Cross-departmental collaboration and promotion, close cooperation with teams such as experience operation, 3PL management, customer service, etc., to quickly respond to business needs and promote the implementation of training in various regions; Develop an internal team of trainers (Rider Trainer/Patroller) to enhance training coverage.
1.为D端配送搭建业务指标以及异动分析的监控体系,保障业务向上发展; 2.负责运力运营的问题根因分析, 最终以改善业务结果为目标, 联动产、研、运形成配套产品功能和策略, 并验证策略有效性; 3.收纳核心造成C端配送时长久的压力因子(e.g. 天气), 搭建压力预测机制, 形成前置补贴策略应对的触发条件, 做前置应对。 4.深入参与到履约业务重点运营项目中,输出有效数据认知。 Reporting to Logistic operation Strategy team leader in Kuwait. Build a monitoring system for business metrics and anomaly analysis for D-end delivery to ensure business growth. Responsible for root cause analysis of delivery man-power operation issues, ultimately aimed at improving business outcomes. Collaborate with product, research & development, and operation team to form supporting product features and strategies, and validate the effectiveness of those strategies. Identify core factors causing delivery overtime problems (e.g., weather), establish a forecasting mechanism, so that our team can implement precautionary measures such as increasing cost per order to the riders. Deeply participate in key rider operation projects related to successful customer delivery fullfillment and provide effective data insights.
1、负责制定并实施经营分析策略,通过BI工具提供数据驱动的洞察,支持业务决策。 2、领导团队进行数据挖掘和分析,识别业务增长点和优化机会,提升运营效率。 3、与各部门合作,确保数据准确性和及时性,为业务发展提供可靠的数据支持。 4、设计和优化报表系统,提升数据可视化效果,使业务信息更易理解和应用。 5、指导团队成员提升分析技能,推动数据文化在组织内的普及和应用。 1、Responsible for developing and implementing business analytics strategies, providing data-driven insights through BI tools to support decision-making. 2、Lead a team in data mining and analysis, identifying growth areas and optimization opportunities to enhance operational efficiency. 3、Collaborate with departments to ensure data accuracy and timeliness, providing reliable data support for business development. 4、Design and optimize reporting systems to enhance data visualization, making business information more understandable and actionable. 5、Coach team members to improve analytical skills and promote the adoption of data culture within the organization.