Revenue Mnager - OTA and distributions(Hotels/Resorts)

2 - 5 years

5 - 7 Lacs

Posted:3 days ago| Platform: Naukri logo

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Skills Required

revenue forecasting & yield optimization ota revenue analysis pms rms

Work Mode

Work from Office

Job Type

Full Time

Job Description

About Company:

Job Title

Department

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Job Overview:

Key responsibilities:

OTA Management & Execution

  • Upload and manage room rates, availability, and restrictions across all online travel agents (OTAs).
  • Ensure accurate, real-time updates via channel management software (e.g., STAAH, RateGain).
  • Troubleshoot errors related to sync failures, overbookings, or price mismatches.

Listing & Content Support

  • Maintain high-quality listings with updated photos, amenities, policies, and descriptions.
  • Monitor and implement OTA content guidelines to improve ranking and visibility.
  • Flag missing or outdated content to relevant teams.

Daily Monitoring & Reporting

  • Monitor daily bookings, cancellations, and availability updates.
  • Share daily reports on occupancy, rate parity, and channel performance with relevant stakeholders.
  • Track and escalate any OTA-related issues that affect sales or guest experience.

Coordination & Support

  • Communicate with OTA support teams or account managers for listing enhancements or issue resolution.
  • Coordinate with Revenue, Marketing, and Operations teams for promo execution, blackout dates, or content changes.
  • Assist in onboarding new homestay partners or properties to OTAs.

Requirement

  • 1-3 years of experience in hospitality or OTA operations.
  • Familiarity with channel managers (e.g., STAAH, Cloudbeds, RateGain).
  • Strong attention to detail and ownership mindset.
  • Proficiency in Excel or Google Sheets.
  • Basic understanding of OTA platforms like Airbnb, MMT, Goibibo, Booking.com, etc.

Preferred Skills:

  • Experience with PMS tools or dynamic pricing software is a plus.
  • Good communication skills to coordinate across teams and with partners.
  • Ability to work with high volumes of data and multiple properties.

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