Data Analyst: Experiments

Overview

Job Description

Responsibilities

• - Expanding our knowledge of our experiments to improve their trustworthiness and convergence time by integrating state-of-the-art approaches for AB tests
• - Delving into customers' datasets, deriving solutions that will work for different industries, business sizes, and shoppers’ patterns, and integrating them into our data pipelines
• - Working with PMs and Engineers to scope the most important insights we expect to extract from our data and improvements that we’d like to bring to the experimentation process
• - Working with a variety of ML/DS teams to foster best practices in their experimentation cycle and methodology
• - Researching and implementing alternative approaches to data-driven decision-making

Required Skills

• - Diversified experience in data/product analytics, including A/B experiments and other approaches to data-driven decision-making
• - Understanding of the underlying mathematical statistics and applicability limits of A/B testing and its alternatives
• - Ability to defend your point of view in a reasoned and clear manner and listen to other people's opinions
• - Enthusiasm about improving data-driven culture in a growing company
• - Proficiency in SQL and Python for data analysis/data processing
• - Experience with PySpark or ETL pipelines (optional)

Benefits

• - Compensation: base range of 90-110k USD + stock options + work from home bonus
• - Fully remote team - choose where you live
• - Work from home stipend
• - Apple laptops provided for new employees
• - Training and development budget for every employee, refreshed each year
• - Parental leave for qualified employees
• - Work with smart people who will help you grow and make a meaningful impact