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Bookanda

Dynamic Pricing & Revenue Optimization Analyst

  • Remote
  • Remote
  • Full-Time
  • Posted Oct 18, 2026

Job details

Category
Data Analysis
Sector
Travel & Hospitality
Experience level
Mid-Level
Salary range
$100k - $130k
Application deadline
Rolling Admissions

Job description & requirements

Job description

Develop algorithmic pricing models based on local hotel demand surges, seasonality, and competitor rates.

Key requirements

Required skills: Python, SQL, Revenue Management, Predictive Modeling, Pandas, Econometrics.

Role details

What you will work on

  • Model demand elasticity curves for global hospitality destinations using historical reservation data.
  • Build algorithmic dynamic rate recommendations helping partner hoteliers maximize RevPAR (Revenue Per Available Room).
  • Monitor real-time search volume signals and forecast inventory sell-out time horizons.

Required skills

  • Python
  • SQL
  • Revenue Management
  • Predictive Modeling
  • Pandas
  • Econometrics

Responsibilities

  • Maintain and retrain pricing models against updated reservation and competitor data.
  • Review pricing recommendation quality with partner hoteliers and adjust parameters.
  • Report on revenue impact of pricing changes to the product and partnerships teams.
Direct Application

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About the company

Travel & Hospitality

Online hotel booking engine and guest experience platform.

View company profile

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