· Master degree in a quantitative field (Statistics, Applied Mathematics, Business or Economics). An MBA or PhD will be valued.
Technical & Analytical Skills
· Strong expertise in data analysis, statistical modeling, and applied quantitative methods (e.g., regression, clustering, elasticity modeling, forecasting).
· Hands-on experience with machine learning and data mining techniques, applied to pricing problems.
· Proven ability to work with large, complex datasets: cleaning, aggregating, transforming, and ensuring data quality across varied sources.
· Advanced proficiency in SQL and BigQuery for large-scale data processing; experience with ETL pipelines, automation, Excel and data engineering for analytics.
· Skilled in developing and maintaining scalable pricing tools, dashboards, and frameworks that deliver actionable insights across regions.
· Subject matter expertise in price optimization, revenue management, profitability analysis, and scenario modeling.
· Ability to translate analytical findings into pricing strategies that drive measurable business outcomes.
· Track record of designing and testing innovative approaches to pricing, identifying opportunities through data-driven insights.
· Strong problem-solving mindset: able to break down complex business challenges into structured analytical approaches.
· Ability to evaluate current methods and processes, recommend improvements, and implement data-driven solutions.
· High attention to detail with strong data validation and accuracy standards.
· Demonstrated ownership of projects from data exploration through strategy development and implementation.