Bachelor's degree in a quantitative discipline or equivalent practical experience.
7 years of experience in business intelligence, analytics, or quantitative analysis related fields.
Experience in Programming and SQL.
Preferred qualifications:
Master's degree in a technical or quantitative field, or equivalent practical experience.
Experience building Business Intelligence/Online Analytical Processing (OLAP) solutions using SQL or similar query language.
Experience building and maintaining Machine Learning models for forecasting and outlier detection purposes.
Experience developing, running, and working with Big Data pipelines (e.g. Bn+ records).
Ability to operate effectively in a fast-paced and ambiguous environment.
Entrepreneurial mindset and excellent communication skills, including the ability to communicate complex findings in a concise manner to a non-technical audience.