Revenue Analyst

Yonder Talent India; Navi Mumbai; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Yonder Talent India is seeking a Revenue Analyst to drive pricing strategies for a growing portfolio of U.S.-based properties. You will leverage KeyData and PriceLabs, analyze occupancy trends, and optimize RevPAR, ADR, and overall revenue.

You will collaborate with cross-functional teams, build dashboards, and present insights to stakeholders. Proficiency in SQL and Python, with experience in BI tools, is required for remote collaboration with U.S. teams.

Qualifications

• Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, Business Analytics, Hospitality or related field.
• Minimum 3 years hands-on experience in Revenue Management, Revenue Analytics, Pricing, or Data Analytics.
• Experience in hospitality industry is preferred.
• Experience with KeyData, PriceLabs or equivalent dynamic pricing tools is preferred.
• Proficiency in SQL and Python for data cleaning, transformation, automation, and analysis.
• Strong analytical mindset with the ability to interpret complex data and translate it into actionable business insights.
• Experience with business intelligence tools such as Power BI or Tableau.
• Familiarity with forecasting techniques, statistical modeling, and revenue optimization.
• Comfortable working U.S. business hours and collaborating with U.S.-based stakeholders.
• Excellent written and verbal communication skills.
• Independent, self-motivated, detail-oriented, and comfortable working remotely.

Responsibilities

• Design and manage data-driven pricing strategies using KeyData, PriceLabs, and other dynamic pricing platforms.
• Analyze occupancy trends, pacing data, and market dynamics to optimize RevPAR, ADR, occupancy.
• Monitor market indicators and competitor performance to inform pricing and revenue decisions.
• Develop dashboards and reports to support internal and client-facing analysis.
• Conduct property audits to identify revenue opportunities and upsell potential.
• Collaborate with cross-functional teams to enhance property performance and alignment.
• Present data-backed recommendations to internal stakeholders.
• Leverage AI/ML tools and automation to streamline data workflows and improve forecasting.
• Take ownership of ad-hoc analysis, reporting, and strategic projects as needed.

Skills

Data analysis

Pricing optimization

Forecasting

Revenue management

Education

Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, Business Analytics, Hospitality

Tools

KeyData

PriceLabs

SQL

Python

Power BI

Tableau

Job description

About the Role

We are seeking a talented Revenue Analyst to join our team. This role is ideal for professionals who are highly analytical, data-driven, and experienced in dynamic pricing, forecasting, and revenue optimization.

You will be responsible for developing and executing revenue strategies for a growing portfolio of U.S.-based properties. Working closely with cross-functional teams, you'll use industry-leading pricing platforms and data tools to drive occupancy, increase profitability, and support strategic decision-making.

Key Responsibilities

• Design and manage data-driven pricing strategies using tools like KeyData, PriceLabs, and other dynamic pricing platforms.
• Analyze occupancy trends, pacing data, and market dynamics to optimize RevPAR, ADR, occupancy, and overall revenue.
• Monitor market indicators and competitor performance to inform pricing and revenue decisions.
• Develop performance dashboards and reports to support internal and client-facing analysis.
• Conduct property audits to identify revenue opportunities, improvement areas, and upsell potential.
• Collaborate with Business Development, Marketing, Operations, and cross-functional teams to enhance property performance and alignment.
• Present clear, data-backed recommendations and insights to internal stakeholders.
• Leverage AI/ML tools and automation to streamline data workflows and improve forecasting accuracy.
• Take ownership of ad-hoc analysis, reporting, and strategic projects as needed.

Required Qualifications

• Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, Business Analytics, Hospitality, or a related field.
• Minimum 3 years of hands‑on experience in Revenue Management, Revenue Analytics, Pricing, or Data Analytics.
• Experience in the hospitality industry is preferred.
• Experience with KeyData, PriceLabs, or equivalent dynamic pricing tools is preferred.
• Proficiency in SQL and Python for data cleaning, transformation, automation, and analysis.
• Strong analytical mindset with the ability to interpret complex data and translate it into actionable business insights.
• Experience with business intelligence tools such as Power BI, Tableau, or similar platforms.
• Familiarity with forecasting techniques, statistical modeling, and revenue optimization.
• Comfortable working U.S. business hours and collaborating with U.S.-based stakeholders.
• Excellent written and verbal communication skills.
• Highly independent, self‑motivated, detail‑oriented, and comfortable working in a remote environment.

Why Join Us:

• Opportunity to make a significant impact on our data-driven decision-making processes through insightful analysis and innovative solutions.
• Collaborative and dynamic work environment with opportunities for professional growth and skill development.
• Competitive salary and opportunities for performance-based incentives.

If you meet the qualifications and are passionate about data analysis and driving business success through data-driven insights, we'd love to hear from you! join our team of experts.