1) Data Science Analyst - Revenue Management

2) As a Data Science Analyst in the Revenue Management team, you will utilize advanced analytics, predictive modeling, and machine learning techniques to enhance decision-making and optimize revenue performance.

3) Key Resonsabilities

• Develop and implement predictive models for demand forecasting, pricing optimization, and revenue maximization.
• Conduct deep-dive analysis to uncover trends, identify revenue opportunities, and recommend actionable strategies.
• Create insightful dashboards and visualizations for stakeholders.
• Continuously enhance existing models and analytics tools.
• Collaborate with revenue managers, sales, marketing, and IT teams to integrate data-driven strategies into business processes.

4) Key Requirements

• Master's degree in Data Science, Statistics, Engineering or related fields.
• Proficiency with Python or R and SQL.
• Familiarity with data visualization tools (Power BI, Tableau, or similar).
• Knowledge of statistical modeling, machine learning algorithms, and forecasting methods.
• Excellent analytical, problem-solving, and communication skills.
• Fluency in English

5) Additional Requirements

• 2+ years of experience in data analysis, predictive modeling, or machine learning, preferably in revenue management or airline industry.