Business/ Data Analyst – Revenue Management

IHCL and its subsidiaries bring together a group of brands and businesses that offer a fusion of warm Indian hospitality and world-class service. These include Taj – the iconic brand for the most discerning travellers, and ranked as ‘World’s Strongest Hotel Brand’ and ‘India’s Strongest Brand’ across sectors as per Brand Finance Hotels 50 and India 100 reports 2024 respectively; SeleQtions, a named collection of handpicked, storied hotels; Vivanta, a chain of contemporary upscale hotels that celebrate joie de vivre; Ginger, a brand that is revolutionizing the lean-luxe segment, and amã Stays & Trails, a charming portfolio of private bungalows and villas set in picturesque locales.

About the Role:

We are seeking a data-driven and strategic Business Analyst to join our Revenue Management team. This role is ideal for professionals with a strong data analytics background who are proficient in understanding large data sets to generate insights, are passionate about optimizing pricing, forecasting demand, and driving revenue growth in the hospitality industry.

Key Responsibilities:

• Revenue Optimization Analysis :

  Analyse pricing strategies, booking patterns, and market trends to recommend optimal pricing and inventory controls.

• Data Analysis & Reporting:

  Develop and maintain dashboards, reports, and models to monitor key performance indicators (KPIs) such as RevPAR, ADR, and occupancy rates.

• Forecasting & Budgeting:

  Support demand forecasting and revenue budgeting processes using historical data and predictive analytics.

• Market Intelligence:

  Conduct competitive benchmarking and analyse external market data to identify opportunities and threats.

• Stakeholder Collaboration:

  Work closely with Sales, Marketing, Finance, and Operations teams to align revenue strategies with business goals.

• System & Tool Enhancement:

  Assist in the evaluation and implementation of Commercial systems and tools.

• Ad Hoc Analysis:

  Provide insights and recommendations for special projects, promotions, and strategic initiatives.

Qualifications:

• Minimum Bachelor’s degree ( Master’s degree is a plus) in Business, Economics, Statistics, Data Science, Hospitality Management, or related field. Mathematics / Statistics / Science as a subject in higher secondary school would be preferred.
• 2–4 years of experience in data analysis, preferably within the hospitality or travel industry.
• Proficiency in data visualization tools (e.g., Tableau, Power BI) and analytics platforms (e.g., SQL, Python, Excel).
• Overall understanding of revenue management principles and KPIs.
• Excellent analytical, problem-solving, and communication skills.
• Ability to translate complex data into actionable insights.

Preferred Skills:

• Experience with revenue management systems (e.g., IDeaS, Duetto, Rainmaker).
• Familiarity with hotel PMS and CRS systems.
• Knowledge of statistical modeling and forecasting techniques.

Why Join Us?

• Be part of a dynamic team driving strategic decisions in a fast-paced hospitality environment.
• Opportunity to work with cutting-edge analytics tools and contribute to high-impact projects.
• Career growth and learning opportunities within a global hospitality brand.