Answer business questions, such as pattern recognition of user behavior, and product optimization…, by extracting, manipulating, and analyzing data while applying statistical techniques
Work closely with the Product team in planning and daily operations to identify opportunities for other data solutions, provide insight and consult on action for product optimization
Construct dashboards to monitor business performance, create and maintain data documentation
Build, optimize and ensure the quality of data / ETL pipeline with the Central Data team
Job requirements
Be fluent in SQL for data pipeline building, ad-hoc requests, and d
Be able to use standard statistical & analytical techniques: A/B testing - Hypothesis testing, cohort analysis, correlation,…
Be able to communicate data findings with appropriate examples from data points of view, using proper visualization (bar, line, histogram, bubble chart...)
Be able to give clear and actionable recommendations based on data findings
Have a good command of critical/logical/analytical thinking & problem-solving skills
Be fast, proactive, and have good learning agility
Experience with the following is appreciated: Maths and Statistics (especially Statistical Inference), SQL, Python, and Data visualization tools