Data Analyst Team Lead
职责
- 你将领导数据与分析团队的高性能、跨职能成员，设计并构建复杂的可视化和分析模型，以理解各种市场或运营变化对我们的业务影响
- 与运营和职能领域紧密合作，识别、优先处理并完成他们最紧迫且有影响力的分析用例；将复杂的分析结果转化为简单的可视化和执行建议
- 使用专有和开源的数据工具、平台和分析工具包，分析和解释大规模（PB级）的交易、运营和客户数据
- 成为快节奏行业和组织的一部分，其中产品上市时间至关重要
要求
- 量化学科的学位，如数学、统计学、精算科学、计算机科学、工程或生命科学
- 至少8年应用高级分析的行业经验
- 在应用分析技术指导运营改进、排程、资产利用或投资决策方面有实际经验；并监督他人的工作，最好是分析或工程岗位
- 有抽象思维、解决问题和处理不确定性的愿望和能力
- 对成为我们团队的领导者充满热情和动力，帮助塑造和推动其未来发展
- 强大的沟通、演示、项目管理和时间管理技能
- 在以下两个或更多方面具备高级能力：
-- 分析软件（例如 R、SAS）；
-- 数据可视化工具（例如 Qlikview、Tableau、PowerBI）；
-- 关系型或图数据库管理工具（例如 SQL、NoSQL、Neo4J）；
-- 编程（例如 VBA、C++、Java、Python）
最初发布于 喜马拉雅山
查看英文原文
Responsibilities
- Overseeing high performing, multidisciplinary members of the Data & Analytics team, you will design and build complex visualisations and analytical models to understand the impact of various market or operational changes to our business
- Work closely with the operational and functional areas to identify, prioritise and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualisations and recommendations for execution
- Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
- Be part of a fast-paced industry and organisation where time to market is critical
Requirements
- Degree in a quantitative discipline, as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences
- Minimum 8 years of industry experience applying advanced analytics
- Demonstrated experience in the application of analytical techniques to guide operational improvements, scheduling, asset utilisation or investment decisions; and of supervising the work of others, preferably analytics or engineering roles
- A desire and ability to think abstractly, solve problems and deal with ambiguity
- Enthusiasm and drive to be a leader in our team, helping shape and develop its future
- Strong communication, presentation, project management and time management skills
- Advanced competency in two or more of the following:
-- Analytical software (e.g. R, SAS);
-- Data visualisation tools (e.g. Qlikview, Tableau, PowerBI,);
-- A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J);
Programming. (e.g. VBA, C++, Java, Python);
Originally posted on Himalayas