Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency and aggressive documentation.
Partner with product, engineering, machine learning, and international teams; use behavioral and transactional data to shed light on our user experience, identify opportunities for improvement, and drive decision-making.
Identify actionable metrics to understand the performance of products and algorithms, develop dashboards and/or reports to track performance, and ingrain these metrics into teams’ day-to-day decision-making.
Lead experimentation, help teams set great hypotheses, and deliver robust analysis of experiment results.
Continually evaluate and refine your technical toolkit; teach what you learn to the team.
You have 1-3 years experience as an analyst or in a quantitative role in which you extracted meaning from big data sets with little engineering support.
You understand the principles of A/B testing, and love crafting and analyzing experiments.
You are proficient in SQL and have familiarity with either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)
Experience with Looker, Tableau, or other data visualization software a plus.
You can communicate your insights verbally, visually, and in writing and care deeply about the quality and integrity of your work.
You are a strong, independent, analytical thinker who enjoys thinking about and solving complex and nuanced problems.
You care about reproducible work and have picked up tools to this end; you can teach others how to make their own work better and more efficient.
You are passionate about subjects such as experimental design, data visualization, and statistical analysis techniques.
Experience with a variety of geographic markets or different languages is a plus.