Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
3 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
3 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++).
Preferred qualifications:
Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
2 years of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.
Experience in data analysis, with the ability to solve problems in complex, fast-moving, and ambiguous business environments through solid data intuition and business acumen.
Experience influencing senior leadership on analytical decision making.
Knowledge of Google tools (e.g., Plex, BQ, etc.).
Ability to effectively communicate analysis and recommendations across a wide range of non-technical audiences.