Possess a Bachelors in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences) with 1.5 - 2.5 years work experience in data analytics Statistics: ideally have knowledge and familiarity with experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Programming: must have experience in Python (or R) and SQL Proven verbal and written communication skills, with ability to present information and analysis results effectively to other data analysts Ability to use GSuite products like Google Slides, Google Docs, GCP Big Query, and Looker Ability to build positive relationships within the data science & analytics community Have an interest in the ad-tech industry as well as data, metrics, analysis, and trends from the mindset of helping a customer-centric business.
