Senior Analyst - Revenue Planning & Analysis

IndiGo; Gurgaon; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

IndiGo is India's largest passenger airline and a fast-growing global player. We are seeking a Senior Analyst to join the Revenue Planning & Analysis team in Gurgaon, working on pricing, inventory, and revenue optimization using advanced analytics and AI-driven solutions.

You will develop predictive models for demand forecasting, maintain in-house RM system algorithms, and partner with cross-functional teams to translate insights into strategic actions that boost revenue and load factors.

Qualifications

• Strong proficiency in SQL and Python for data manipulation and modeling.
• Hands-on experience with AI/ML techniques (predictive modeling, optimization, clustering).
• 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.

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.

Skills

SQL

Python

AI/ML techniques

BigQuery (GCP)

Git

Statistics/Economics

Communication skills

Education

Bachelor's or Master's in Statistics/Mathematics/Economics/CS/Data Science

Tools

Power BI

R programming

Certifications in DS/ML

Job description

Senior Analyst - Revenue Planning & Analysis

Gurgaon

18 th Feb 26

IndiGo is India’s largest and most preferred passenger airline and amongst the fastest-growing airlines in the world. We have a simple philosophy: offer fares that are affordable, flights that are on time, and provide a courteous and hassle-free travel experience across our unparalleled network. We demonstrate that low cost does not mean low quality. With our fleet of 400+ aircraft, we operate well over 2,200 daily flights, connecting 130+ destinations (of which 40+ are international), welcoming 118 million+ customers on board last year. We have an industry-leading on-time performance and one of the highest customer NPS in the Indian market. At IndiGo, we will continue to extend our scope, by spreading our wings internationally, from a domestic carrier to a global aviation leader.

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

Additional information

At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connection with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their, but not limited to, gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, persons with disabilities, nationality, age, marital and maternity status.

IndiGo does not charge fees for Job Interviews, Registration, Verification or Offer Letters. All Official communication will be from verified IndiGo IDs (e.g., [e-mail]). Please report any fake job offer to eco.goindigo.in

'At IndiGo we are committed to fostering an inclusive and equitable workplace. All employment decisions are made solely on the basis of merit and qualifications, without regard to a candidate’s gender, race, color, religion, caste, creed, ethnicity, language, sexual orientation, marital status, maternity status, disability, or social and economic background’