Data Analyst
Netherlands-Amsterdam
Tencent
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...We are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.
Level Infinite is a global gaming brand dedicated to delivering high-quality and engaging interactive entertainment experiences to a worldwide audience, wherever and however they choose to play. It operates from bases in Amsterdam and Singapore with staff around the world.
To learn more about Level Infinite, visit www.levelinfinite.com, and follow on Twitter,Facebook, Instagram and YouTube.
Responsibilities
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
Requirements:Requirements
1.Bachelor's degree or above in Computer Science, Machine Learning, Statistics, Economics, Mathematics or equivalent technical field.
2. 4+ years of experience in custom ETL design, implementation and maintenance.
3. Experience programming in SQL, Python, R, or related language.
4. Experience with Big Data technologies such as Hadoop, Hive, Spark, Flink, etc.
5. Good data visualization skills using Tableau, PowerBI or other visualization tools.
6. 4+ years of experience in applying analytics, inference, experimentation, or machine learning methods in business scenarios preferred.
7. Experience influencing product decisions with data.
#LI-RL1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data Analytics Data quality Data visualization Economics Engineering ETL FinTech Flink Hadoop Machine Learning Mathematics ML models Power BI Python R Spark SQL Statistics Tableau
Perks/benefits: Career development Startup environment
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