Lead - Commercial Planning & Analytics

Air India Express; Gurugram District; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

Air India Express invites a data-driven Revenue Management & Analytics professional to drive commercial performance. You will optimize RMS, forecast demand, and support pricing and ancillary initiatives while collaborating with Marketing, Loyalty, and IT teams to maximize revenue across domestic and international networks.

You will build Power BI dashboards, maintain data pipelines, ensure data quality, and deliver actionable insights to senior leadership for better decision-making and revenue

Qualifications

• Strong experience in Revenue Management, Commercial Analytics, Business Intelligence, or Data Science.
• Expertise in forecasting, pricing analytics, revenue optimization, and commercial performance management.
• Hands-on experience with Power BI, SQL, data modeling, predictive analytics, and automation.

Responsibilities

• Drive RMS optimization across domestic and international operations.
• Develop forecasting, inventory allocation, fare optimization, overbooking and revenue maximization capabilities.
• Monitor RMS performance and ensure effective execution of processes and business rules.
• Support implementation of new fare products, pricing strategies, and commercial initiatives.
• Evaluate impact and effectiveness of revenue management solutions.
• Generate actionable commercial insights through advanced analytics and forecasting.
• Build and maintain Power BI dashboards, automated reports, and performance tracking frameworks.
• Conduct impact assessments for pricing, inventory, and commercial initiatives.
• Deliver data-driven recommendations to improve revenue and business performance.
• Monitor key commercial KPIs and network performance.
• Develop predictive models to identify revenue opportunities and customer segments.
• Collaborate with Marketing, Loyalty, and Contact Centre teams for growth.
• Design and maintain commercial data pipelines and automated workflows.
• Ensure data accuracy, quality, integrity, and reliability across reporting systems.

Skills

Revenue Management

Commercial Analytics

Business Intelligence

Data Science

Forecasting

Pricing Analytics

Revenue Optimization

Automation

Power BI

SQL

Data Modeling

Tools

Power BI

SQL

Data Modeling

Predictive Analytics

Automation

Job description

Responsible for driving commercial performance through data analytics, revenue management system optimization, business intelligence, forecasting, and ancillary revenue initiatives. The role supports revenue growth by translating data into actionable insights, enhancing revenue management capabilities, maintaining critical commercial systems and data pipelines, and partnering with cross‑functional stakeholders to improve decision‑making and commercial outcomes.

Key Responsibilities

Revenue Management Systems & Optimization

• Drive continuous enhancement of Revenue Management Systems (RMS) across domestic and international operations.
• Develop and optimize capabilities related to demand forecasting, inventory allocation, fare optimization, overbooking, and revenue maximization.
• Monitor system performance and ensure effective execution of revenue management processes and business rules.
• Support implementation of new fare products, pricing strategies, and commercial initiatives.
• Evaluate business impact and effectiveness of implemented revenue management solutions.
• Generate actionable commercial insights through advanced analytics and forecasting.
• Build and maintain Power BI dashboards, automated reports, and performance tracking frameworks.
• Conduct impact assessments for pricing, inventory, and commercial initiatives.
• Deliver data-driven recommendations to improve revenue and business performance.
• Monitor key commercial KPIs and network performance.

Ancillary Revenue & Customer Analytics

• Develop predictive and propensity models to identify customer buying behavior and revenue opportunities.
• Support customer segmentation, personalization, and targeted marketing initiatives.
• Analyze customer booking and engagement trends to enhance ancillary revenue adoption.
• Collaborate with Marketing, Loyalty, and Contact Centre teams to drive commercial growth.
• Design and maintain commercial data pipelines and automated workflows.
• Ensure data accuracy, quality, integrity, and reliability across commercial reporting systems.
• Identify and resolve data anomalies to prevent revenue leakage.
• Strengthen governance controls around reporting, forecasting, and analytics datasets.

Revenue Management System Development

• Develop in-house capabilities for demand forecasting and EMSR-driven optimization.
• Ensure 24x7 operational support for critical revenue management systems.
• Implement and enhance third‑party Revenue Management solutions.
• Continuously benchmark and improve systems using industry best practices.

Stakeholder Management

• Partner with Commercial, IT, Analytics, Marketing, Loyalty, and operational teams.
• Serve as a key point of contact for commercial analytics and system‑related initiatives.
• Conduct training and capability‑building programs for Revenue Management teams.
• Present strategic insights, recommendations, and performance reviews to senior leadership.

Operational Excellence

• Ensure uninterrupted availability and reliability of mission‑critical revenue management systems.
• Drive automation, process optimization, and scalability initiatives.
• Proactively identify commercial risks and implement corrective actions.
• Support business‑critical system runs and operational processes.

What We're Looking For

• Strong experience in Revenue Management, Commercial Analytics, Business Intelligence, or Data Science.
• Expertise in forecasting, pricing analytics, revenue optimization, and commercial performance management.
• Hands‑on experience with Power BI, SQL, data modeling, predictive analytics, and automation.
• Strong stakeholder management and problem‑solving skills.
• Experience within aviation, travel, hospitality, or related industries will be an advantage.