Senior Analyst - Revenue Planning & Analysis

Senior Analyst Revenue Planning & Analysis

Location: Gurgaon (Work from Office) Experience: At least 2 years in Analytics/Data Science

About the Role

We are seeking a Senior Analyst to join our Revenue Planning & Analysis team. This role is pivotal in leveraging advanced analytics and AI-driven solutions to optimize pricing, inventory, and revenue performance. You will work on predictive modeling, algorithm development, and strategic insights for our in-house Revenue Management System.

Key Responsibilities

• Analyze large datasets using statistical models, optimization techniques, and machine learning to uncover trends and insights related to pricing, demand, and revenue.
• Develop and implement predictive models for demand forecasting at leg and OD level, inventory optimization, and pricing strategies.
• Maintain and enhance in-house revenue management system algorithms, UI components, and database structures.
• Perform trend analysis across products, routes, and time horizons to support strategic decisions.
• Establish and monitor KPIs such as Revenue Growth, Load Factor, RASK, and target allocations.
• Collaborate with cross-functional teams to translate analytical insights into actionable business strategies.

Required Skills

• Strong proficiency in SQL and Python for data manipulation and modeling.
• Hands-on experience with AI/ML techniques (predictive modeling, optimization, clustering, etc.).
• Familiarity with Google Cloud Platform (GCP), especially BigQuery for data storage and computation.
• Knowledge of version control systems (Git).
• Good understanding of statistical concepts, economics, and Airline Revenue Management principles.
• Excellent problem-solving and communication skills.

Good to Have

• Experience with Power BI for visualization.
• Exposure to Agentic AI frameworks and automation.
• Working knowledge of R programming language.
• Certifications in Data Science, Machine Learning, or related fields.

Educational Qualification: Bachelors or Masters degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline.