Data Analyst - Pricing

Overview

As part of the Global Pricing Team, you’ll analyze pricing and market data to create actionable recommendations that support profitable growth and decision-making across countries.

What you'll do

• Analyze market trends, customer behavior, and internal performance to find revenue opportunities and optimize pricing strategies.
• Design, automate, and maintain analytical tools and dashboards for pricing and market visibility.
• Work with large, complex datasets across platforms (e.g., Databricks, BigQuery, Looker) while ensuring data quality and scalability.
• Translate statistical modeling (e.g., regression, elasticity, scenario analysis) into concise insights for commercial decisions.
• Improve processes to reduce manual effort and streamline workflows.
• Provide stakeholders training and insights to improve their use of pricing data.

What you'll need

• Master’s degree in a quantitative field (Statistics, Applied Mathematics, Business, or Economics).
• Strong expertise in data analysis and statistical modeling (e.g., regression, clustering, elasticity modeling, forecasting).
• Hands-on experience with machine learning and data mining techniques applied to pricing.
• Advanced proficiency in SQL and BigQuery for large-scale data processing and ETL pipelines/automation.
• Experience developing and maintaining scalable pricing tools, dashboards, and frameworks.
• 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.