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Job Views:  
44
Applications:  30
Recruiter Actions:  0

Posted in

Consulting

Job Code

1648155

Description: Senior Analyst Revenue Planning & Analytics.

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.


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Job Views:  
44
Applications:  30
Recruiter Actions:  0

Posted in

Consulting

Job Code

1648155

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