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Specialized pricing analytics reduces applicants but metro location and known global employer raise competition to medium.
Pricing subject-matter expertise and commercial decision influence mean backgrounds from other industries need strong domain alignment.
Requires deep pricing analytics, BigQuery/SQL, and ML expertise, making shortlisting fairly strict.
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Drive profitable growth by analyzing market trends, customer behavior, and internal data to optimize pricing strategies.
Design, automate, and maintain analytical tools and dashboards for pricing performance and market dynamics visibility.
Collaborate cross-functionally to ensure pricing decisions align with business strategy and support commercial decision-making.
Master’s degree in a quantitative field (Statistics, Applied Mathematics, Business, or Economics); MBA or PhD valued.
Strong expertise in data analysis, statistical modeling, and quantitative methods including regression, elasticity, and forecasting.
Advanced proficiency in SQL and BigQuery; experience with large, complex datasets and ETL pipelines for data processing and automation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in applying machine learning, data mining, and advanced analytics specifically for pricing and revenue optimization.
Skilled communicator able to translate complex data and statistical models into actionable pricing recommendations for diverse stakeholders.
Demonstrated ability to own projects end-to-end from data exploration to strategy development and implementation, driving measurable business outcomes.