Data Analyst

● Understand the logic of data. Interpret and analyze data using statistical techniques to provide ongoing reports.
● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
● Acquire data from multiple data sources, understand and maintain the flow of data from origin to data warehouse.
● Work closely software engineer to design system that is friendly for tracking&logging data.
● Be a brother-in-arms with Product Manager to find out core metrics to drive product. Break down metrics into data points that is track-able.
● Identify, analyze, and interpret trends or patterns in complex data sets. Provide useful insights from data for making toughest and vital decisions.

● Bachelor/Master’s degree in Statistics, Math, Economics, or related quantitative field with 2+ years experience
● Hands-on and advanced proficiency in Python and SQL programming language
● Strong knowledge of Segmentation, Recommendation Engine, Customer life-time value imputation concepts
● An understanding of data warehousing concepts and ability to build and work with data from different sources efficiently
● Highly analytical with a heavy emphasis on data mining and data visualization
● Ability to demonstrate creativity to solve problems and use quantitative/qualitative skills to deliver concise, logical recommendations and drive cross-functional business decisions
● Hands-on experience with A/B experimentation design and evaluation with an
understanding of probability and statistics models
● Experience with Google analytics/ Firebase a plus