1. Work collaboratively with Product and Engineering teams to identify key risks, understand high value users and uncover insights by using data analytics (e.g. requirement understanding, data sourcing, data quality check, data cleansing, data pre-processing, logic development, model development, and data visualization).
2. Develop and perform ETL and automation, define and evaluate metrics, monitor key product metrics and their progress against goals, and understand root causes of changes in metrics.
3. Explore opportunities broadly with open mindset and leverage various data science methods flexibly, in order to identify high-impact opportunities, initiate project ideas, prototype solutions, and drive project completion
腾讯于1998年11月成立，是一家互联网公司，通过技术丰富互联网用户的生活，助力企业数字化升级。我们的使命是“用户为本 科技向善”。Founded in 1998, Tencent is an Internet-based platform company using technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission…
