
Data Analyst Specialist
Há 5 dias
The role of a Pricing Analyst is to develop and implement advanced pricing models that drive revenue performance, customer value, and competitive positioning. This involves full lifecycle model development, including data exploration, feature engineering, model building, simulation, and integration with pricing systems.
Key responsibilities include:
- Developing and deploying machine learning and statistical models to support pricing decisions, demand forecasting, and revenue optimization.
- Conducting data exploration and wrangling large, complex datasets related to bookings, customer behavior, ship inventory, pricing, promotions, and competitive dynamics.
- Collaborating with revenue management, analytics, and finance teams to define modeling requirements, test model scenarios, and ensure solutions align with business goals.
- Applying pricing science and economics concepts to improve segmentation, elasticity estimation, and inventory control decisions.
- Assisting in building simulation tools and pricing engines that operationalize models in real-time or batch environments.
- Collaborating with data engineers to define data requirements and ensure model-ready pipelines.
- Documenting methodologies, assumptions, and model limitations clearly for technical and business audiences.
- Guiding data developers to ensure data is accurate and consumable for data science projects
- Providing executive-level summaries, visualizations, and recommendations for senior leadership teams.
- Staying current on data science best practices and tools.
Pricing analysts work closely with cross-functional teams to drive business outcomes through data-driven insights.
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