Data-Driven Pricing Strategist

1 week ago

Thāne, Maharashtra, India beBeeRevenue Full time ₹ 7,00,000 - ₹ 10,00,000
Job Title

Revenue Analyst Role Overview

  • Attracting a skilled Revenue Data Analyst to join our team full-time, Yonder Talent India is seeking an analytical professional with experience in dynamic pricing, forecasting, and revenue optimization.

The ideal candidate will develop and execute revenue strategies for a growing portfolio of U.S.-based vacation rental properties. Collaborating 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 adjust pricing and boost RevPAR, ADR, and overall revenue.
    • Monitor market indicators and competitor performance to inform 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 potentials.
    • Collaborate with Business Development, Marketing, and Operations to enhance property performance and alignment.
    • Present clear, data-backed recommendations to internal teams and homeowners.
    • Leverage AI/ML tools and automation to streamline data workflows and improve forecasting accuracy.
    • Take ownership of ad-hoc analysis and reporting projects as needed.
Required Skills and Qualifications
  • Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, or a related field.
  • Minimum 3 years of hands-on experience in revenue management or data analytics within the short-term vacation rental industry.
  • Mandatory experience with KeyData, PriceLabs, or equivalent dynamic pricing tools.
  • Proficient in SQL and Python for data cleaning, transformation, and analysis.
  • Strong analytical mindset with the ability to interpret complex visualizations and translate them into business actions.
  • Experience with business intelligence tools like Power BI, Tableau, or similar platforms.
  • Familiarity with forecasting techniques and statistical modeling.
  • Comfortable working U.S. hours and engaging with U.S.-based stakeholders.
  • Excellent written and verbal communication skills.
  • Highly independent, self-motivated, and detail-oriented in a remote work environment.

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