Revenue Planning & Analysis - Senior Analyst

Company Description

IndiGo is India’s largest passenger airline. We primarily operate in India’s domestic air travel market as a low-cost carrier with focus on our three pillars – offering low fares, being on-time and delivering a courteous and hassle-free experience. IndiGo has become synonymous with being on-time. Since our inception in August 2006, we have grown from a carrier with one plane to a fleet of 280+ aircraft today. A uniform fleet for each type of operation, high operational reliability and an award winning service make us one of the most reliable airlines in the world. IndiGo has a total destination count of 100+ destinations with 75 domestic destinations and 26 International destinations

Job Title: Revenue Planning & Analysis - Senior Analyst

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.

Responsibilities:

The role shall be responsible for the following areas:

• 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.

Eligibility:

• Bachelor’s or master’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline.

Experience:

• 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 Big Query 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