Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• Experience with statistical data analysis, data mining, and querying (e.g. SQL).
  
• Experience with data visualization and experiment design.
  

Preferred qualifications:

• Experience scripting with SQL, extracting large sets of data, and design of ETL flows.
  
• Experience working with statistical packages (e.g., Python, R, SAS, Stata, MATLAB, etc.).
  
• Experience articulating product questions, pulling data from datasets (SQL) and using statistics to arrive at an answer.
  
• Familiarity with data engineering (i.e., data pipelines, sourcing/validity of data, scalability).
  
• Ability to translate analysis results into business recommendations to executive stakeholders, with excellent written and verbal communication skills.