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Hilton Grand Vacations

Analyst Revenue

Posted 6 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in United Kingdom
Entry level
Remote or Hybrid
Hiring Remotely in United Kingdom
Entry level
The Revenue Analyst conducts data analysis, optimizes pricing strategies, forecasts demand, and collaborates with various departments for revenue growth.
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Join Our Growing European Revenue Management Team!

 

Are you analytical, detaildriven, and ready to develop a rewarding career in Revenue Management? We’re looking for a Revenue Analyst to join our dynamic Yield & Inventory team, supporting key European properties and playing a crucial role in driving occupancy, rate optimisation, and overall revenue performance.

 

As a frontline operator within the Revenue team, you’ll help shape pricing strategies, forecast demand, analyse performance trends, and collaborate with colleagues across multiple departments to support revenue growth. This is an excellent opportunity for someone who enjoys problemsolving, working with data, and creating meaningful insights that guide business decisions.

 

What You’ll Be Doing

 

In this exciting and varied role, you will:

 

  • Conduct regular data analysis and rate reviews to optimise revenue performance
  • Produce weekly nights and revenue forecasts for a rolling 12month period
  • Maintain an events calendar, rate spreadsheets, and additional channel documentation
  • Monitor booking pace, inventory, occupancy, historical trends, and the competitive set, recommending strategic actions
  • Load and update rates in systems including Clarity, OnQ, Channel Managers, OTAs, and extranets
  • Create and maintain adhoc Excel tools, dashboards (Power BI), and reporting
  • Analyse competitor pricing and maintain rate parity across all thirdparty channels
  • Support the Revenue Manager in fostering a strong revenue management culture
  • Participate in stakeholder review calls to discuss rate changes, restrictions, and performance updates
  • Assist with annual room merchandising plans and process improvements

 

 

What We’re Looking For

 

Minimum Requirements

 

  • High School education with strong Maths and English
  • No prior experience required (training provided)
  • Intermediate Excel skills
  • Ability to travel up to 10% of the time
  • Full driving licence

 

Key Strengths

 

  • Strong analytical and problemsolving skills
  • Excellent attention to detail
  • Ability to work independently and manage multiple tasks
  • Clear communication skills and confidence collaborating across teams
  • Comfortable working with large data sets and digital systems

 

Why Join Us?

 

Be part of a forwardthinking, collaborative Revenue team, working across a diverse portfolio of European properties, gain valuable experience in a fastgrowing area of the business and have the opportunity to develop your technical and analytical capabilities.

 

What You’ll Receive

 

When you join us, you’ll enjoy a wide range of benefits designed to support your wellbeing, growth, and future:

 

  • Access to our Employee Assistance Programme, offering 24/7 counselling and wellbeing support

  • Hotel discounts for you, your family, and friends

  • A welcoming, inclusive culture that values diversity and encourages open-minded thinking

  • Career development through online learning and structured training programmes

  • Networking and collaboration opportunities across the business

  • Access to Perks at Work for discounts across major retailers

Location 

 

This role will initially be fully office based. After successfully completing the probationary period, the role will transition to a hybrid working model, with two days working from home and three days in the office each week. 

 

Key Dates

 

Application Deadline - 31st March 

Interviews: To begin in April 

 

Take the Next Step in Your Revenue Career

 

If you’re eager to develop your analytical skills, work with data, and play a key role in influencing commercial performance, we’d love to hear from you.

 

 

Top Skills

Channel Managers
Clarity
Excel
Onq
Otas
Power BI

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