Advanced Pricing Analyst

Há 3 dias

São Paulo, São Paulo, Brasil beBeePricing Tempo inteiro US$90.000 - US$120.000

Job Title: Advanced Pricing Analyst

We are seeking an expert in data-driven decision making to drive revenue performance and customer value. As a key member of our pricing team, you will be responsible for designing and implementing advanced pricing models that meet business objectives.

Your primary focus will be on developing and deploying machine learning and statistical models to support pricing decisions, demand forecasting, and revenue optimization. You will also conduct data exploration and wrangle large datasets related to bookings, customer behavior, ship inventory, pricing, promotions, and competitive dynamics.

Collaborating with revenue management, analytics, and finance teams, you will define modeling requirements, test model scenarios, and ensure solutions align with business goals. Your expertise in pricing science and economics will inform segmentation, elasticity estimation, and inventory control decisions.

You will work closely with data engineers to define data requirements and ensure model-ready pipelines. Additionally, you will document methodologies, assumptions, and model limitations clearly for technical and business audiences.

A successful candidate will have a strong foundation in data science, statistics, or a related field, with a minimum of 2 years of experience in a data science or quantitative role. Exposure to pricing, forecasting, or optimization is ideal.

Responsibilities:

  • Develop and deploy machine learning and statistical models to support pricing decisions, demand forecasting, and revenue optimization.
  • Conduct data exploration and wrangle large datasets related to bookings, customer behavior, ship inventory, pricing, promotions, and competitive dynamics.
  • Collaborate with revenue management, analytics, and finance teams to define modeling requirements, test model scenarios, and ensure solutions align with business goals.
  • Apply pricing science and economics concepts to improve segmentation, elasticity estimation, and inventory control decisions.
  • Work closely with data engineers to define data requirements and ensure model-ready pipelines.
  • Document methodologies, assumptions, and model limitations clearly for technical and business audiences.
  • Avoid data-related issues by guiding data developers to ensure data accuracy and consumability.
  • Provide executive-level summaries, visualizations, and recommendations for the senior leadership team.
  • Stay current on data science best practices and tools.

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