Data Analyst

2 days ago

Singapore Shopee Full time

About The Team Shopee Search & Recommendation & Ads & Content team provides AI-based online services to our users. Behind the scenes, these services are powered by petabytes of data, numerous state-of-the-art machine learning algorithms, sophisticated and scalable service architectures, and creative business strategies. We create intelligence from massive seemingly nebulous data and turn innovative ideas into tangible products. We keep on breaking our systems’ limits to keep pace with Shopee's fast-growing business. We aim to deliver a “smart” shopping experience on users’ next click. Job Description Design Indicators System: Define key metrics and build automated dashboards and analytical frameworks Analyze Data Fluctuations: Monitor key metrics and conduct deep-dive analysis on specific issues to identify underlying drivers Make Data-driven Decisions: Data-driven decision-making by identifying, structuring, and executing product and performance analyses A/B Test Evaluation: Design A/B experiment evaluation strategy and indicator matrix to evaluate the effect of the experiments Data Management: Provide recommendations for e-commerce, advertisement, content(video,live stream, etc) for data improvement, quality(accuracy), and efficiency of data Analyze business and algorithm influence and give insights to the PM team & Algo team on how to improve features, models, etc. Requirements Bachelor’s degree in Computer Science, Math, Economics, Statistics, or other quantitative fields 1+ year of work experience in data analysis/business analysis A solid grasp of common statistical methods and applications (A/B testing evaluation, time series analysis), familiarity with common data analysis methodologies Experience using data access tools, building dashboards and analyses with large datasets and multiple data sources Familiarity with web analytics tools and data visualisation (e.g. Google Data Studio/Lumos/Druid)Experience working with very large data sets and distributed computing (SQL/Hive/Hadoop/MapReduce)Self-motivated, detail-oriented, fast learner and highly organised Good communication and teamwork skills Experience in the e-commerce domain is preferred #J-18808-Ljbffr

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