Your Role
As part of the Global Pricing Team, you will help shape strategies that drive profitable growth, strengthen market position, and support decision-making across different countries . You will work cross-functionally with Sales, Finance, Vendor Management, and senior leadership to transform data into actionable recommendations and ensure pricing is fully aligned with business strategy.

Key Responsibilities

• Analyze market trends, customer behavior, and internal performance to identify revenue opportunities and optimize pricing strategies.

• Design, automate, and maintain analytical tools and dashboards that provide clear visibility into pricing performance and market dynamics.

• Work with large, complex datasets across multiple platforms (e.g., Databricks , BigQuery , Looker ), ensuring data quality, consistency, and scalability of reporting.

• Translate complex data and statistical modeling (e.g., regression, elasticity, scenario analysis) into concise, actionable insights that influence commercial decisions.

• Drive process improvements that reduce manual effort, streamline workflows, and increase efficiency across the organization.

• Build capability by providing stakeholders with training and insights to improve their understanding and use of pricing data.

What You Bring
You combine strong analytical and coding skills with a strategic mindset. You are experienced in handling and transforming large datasets, building automated workflows, and applying advanced analytical techniques. Beyond the technical expertise , you are an effective communicator who can influence diverse stakeholders and connect pricing decisions directly to business outcomes.

Job Qualifications

Education & Training

• Master degree in a quantitative field (Statistics, Applied Mathematics, Business or Economics ). A n 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, 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.

Other Competencies

• 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.