Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
Experience with data science, scripting language, machine learning tools, techniques and systems.
Knowledge of current abuse techniques and practices.
Ability to work with a variety of engineering stakeholders to gather requirements, explaining models, and iterating to make improvements.
Ability to extract and manipulate high volumes of critical, product-related data.
Ability to describe technical implementations or analyses to a non-tech audience in an effective manner.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.