Sr. Executive - Transformation and Analytics

Senior Executive – Transformation & Analytics

Role Overview

We are seeking a highly analytical professional with strong quantitative, mathematical, and data science capabilities to support airline network planning, schedule optimization, frequency planning, and revenue management transformation initiatives. The role requires a combination of advanced analytics, optimization modeling, business intelligence, and stakeholder engagement to enable data-driven decision making across commercial functions.

Key Responsibilities

1. Mathematical Modelling & Operations Research 
•    Develop mathematical and analytical models to support schedule optimization, forecasting, frequency planning, fleet deployment, and network profitability analysis.
•    Conduct scenario analysis and sensitivity testing to evaluate business impacts under different market and operational conditions.
•    Leverage Python-based optimization frameworks and statistical methods to solve complex planning problems.
2. Data Analytics, Reporting & Business Intelligence 
•    Use SQL and Python to acquire, transform, and analyze large datasets from commercial and operational systems.
•    Design, develop, and maintain dashboards, scorecards, and reports using Power BI and other visualization tools.
•    Leverage latest developments in the field of AI for business intelligence and decision-support
3. Business Engagement & Transformation Support 
•    Collaborate with Network Planning, Revenue Management, Scheduling, Digital, and Business teams to understand analytical requirements.
•    Support requirements gathering, validation, and user acceptance activities for optimization and analytics initiatives.
•    Translate complex analytical findings into clear business recommendations for stakeholders.
•    Prepare documentation, presentations, and executive summaries to support decision making.

Qualifications & Skills Required

•    Bachelor’s or master’s degree in: Operations Research, Applied Mathematics, Statistics, Data Science, Economics, Computer Science, Engineering or related quantitative disciplines
•    2-4 years of hands-on experience in analytics, quantitative modelling, revenue management or network planning 

Technical Skills

Optimization & Mathematics: Mathematical Modeling, Operations Research, Probability and Statistics, Quantitative Problem Solving
Analytics & Programming: Advanced SQL, Python (Pandas, NumPy, SciPy), Power BI or equivalent BI tools, Statistical Analysis, Predictive Analytics
AI Tools: Well versed with AI tools to leverage for efficiency and quality.

Preferred
•    Exposure to optimization tools such as Gurobi, OR-Tools, Pyomo, FICO Xpress, or PuLP.
•    Understanding of airline planning concepts such as schedule optimization, frequency planning, fleet assignment, slot constraints, connectivity analysis, spill and recapture modelling, and network profitability.

Key Soft Skills
•    Strong analytical and quantitative aptitude.
•    Structured problem-solving mindset.
•    Ability to convert business challenges into analytical and optimization problems.
•    Effective communication and presentation skills.
•    Ability to collaborate with cross-functional teams while maintaining strong individual ownership.
•    Strong attention to detail and continuous learning mindset.

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 connections 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, differently-abled status, marital status, nationality, age, family status, and maternity status.