Analyst - Revenue Planning & Analysis

Job Description

Key Responsibilities:
•    Analyze large datasets using statistical models and OR techniques to uncover trends in pricing, demand, and revenue.
•    Develop and implement predictive models for demand forecasting, inventory and pricing optimization, and revenue maximization.
•    Maintain and upgrade in-house revenue management systems, including algorithms, UI, and databases.
•    Lead large-scale RM projects and process automation initiatives.
•    Create data visualizations and reports to communicate insights to stakeholders.
•    Conduct experiments and A/B tests to assess the impact of pricing and revenue strategies.
•    Continuously monitor and refine pricing and inventory strategies for profitability.
•    Stay updated with the latest data science tools and technologies to enhance revenue management.
•    Collaborate with cross-functional teams like Revenue Management, Network Planning, Sales, and Finance to align strategies with business goals.
•    Establish and track key performance indicators (KPIs) related to revenue growth and efficiency.
•    Innovate and develop new business ideas using ML and AI, and automate processes for departmental efficiency.
•    Provide data visualization solutions and maintain databases for efficient resource use.
Skills Required:
•    Proficiency in R, Python, SQL, and data visualization tools.
•    Experience with GIT, GCP, BigQuery, PySpark, Docker, and Linux OS.
•    Strong logical reasoning, statistical modeling, and hypothesis testing.
•    Project management and ability to quickly adapt to new technologies.
•    Effective communication and ability to understand customer requirements.

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.