该职位来源于猎聘
- Key Performance Indicators
- Collection, processing and visualization of competitor vehicle data to estimate future trends
- Benchmarking test reports delivered as per agreed timing, presented in an accessible way
- Stakeholder management for test requirements and planning, maximising efficient use of resources Key Accountabilities and Responsibilities
- Research and collate public domain data, and process it to infer competitors' future trends.
- Liaise test plans with stakeholders across Propulsion Engineering teams.
- Prepare vehicles for testing,
- Carry out vehicle testing to evaluate Performance, Efficiency, and Charging attributes
- Assess and document customer facing features.
- Investigate and process data, and produce test reports.
- Create tools to facilitate data visualization and accessibility.
- Write Engineering Statement of Works and RFQs for oursourced projects
- Perform unplanned / urgent test requests.
- Maintain body of knowledge, best practices and guides for benchmarked vehicles
Key Interactions
- Propulsion attributes Chapter members, Technical Specialists and Chapter Management.
- Benchmarking teams across engineering.
- Strategy and Vehicle Engineering teams
- Workshop technicians and supervisors
Knowledge, Skills and Experience Essential:
- Powertrain Calibration and/or vehicle testing experience
- Data acquisition and analysis, and associated toolchain.
- Driving License (confident to drive in public roads) Desirable:
- Knowledge of data acquisition tools such as INCA, Canalyser
- Experienced driver with less than 7 live penalty points and no driving bans
- Presentation and Communication skills.
- Big data, data pipelines and database management/visualization
关键绩效指标 - 收集、处理和可视化竞争对手的车辆数据,以估计未来趋势 - 按照商定的时间交付基准测试报告,并以易于理解的方式进行展示 - 对测试要求和规划进行利益相关者管理,最大限度地有效利用资源 主要责任与义务 - 研究和整理公共领域数据,并对其进行处理,以推断竞争对手的未来趋势。 - 与推进工程团队的利益相关者联络测试计划。 - 准备测试车辆、 -进行车辆测试,评估性能、效率和充电属性 - 评估和记录面向客户的功能。 - 调查和处理数据,并制作测试报告。 - 创建工具,促进数据可视化和可访问性。 - 为我们的外包项目编写工程说明书和询价单 - 执行计划外/紧急测试请求。 - 维护基准车辆的知识体系、**实践和指南
关键互动 - 推进属性分会成员、技术专家和分会管理层。 - 跨工程领域的标杆团队。 - 战略和车辆工程团队 - 车间技术人员和主管
知识、技能和经验 - 动力总成标定和/或车辆测试经验 - 数据采集和分析以及相关工具链。 - 驾驶执照(有信心在公共道路上驾驶) - 熟悉 INCA、Canalyser 等数据采集工具 - 驾驶经验丰富,未被记满 7 分且未被禁驾 -
演讲和沟通技能。 - 大数据、数据管道和数据库管理/可视化"