Senior Revenue Analyst, Luxury Hospitality Pricing

Reschio S.r.l.

Lisciano Niccone

On-site

EUR 35,000 - 38,000

Part time

14 days+

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Benefits offered by this job

Learning & development
Gym access
Staff accommodation
Meals provided

Job summary

Reschio S.r.l. in Umbria invites applications for an on-site Senior Revenue Analyst.

You will work closely with the Hotel Manager, General Manager, Reservations, Sales, Marketing and Finance to optimize pricing, inventory and distribution, translating data into actionable recommendations. This role requires advanced Excel skills, confidentiality, and the ability to communicate complex insights to diverse stakeholders.

Qualifications

  • Experience in Revenue Analysis within luxury hospitality.
  • Proficiency with hotel PMS/CRS and BI tools such as Protel/iHotelier/SynXis.
  • Advanced Excel skills including Pivot Tables, index/match and dynamic charts.

Responsibilities

  • Monitor daily hotel performance metrics (Occupancy, ADR, RevPAR, pickup, booking pace and cancellations).
  • Analyse historical and forward-looking data to identify revenue opportunities and risks.
  • Support pricing, yield and inventory strategies in collaboration with Hotel Manager and General Manager.
  • Assist budgeting, reforecasting and financial projections with high accuracy.
  • Translate revenue data into concise insights for decision-making and action.
  • Maintain and improve daily, weekly and monthly revenue reports and dashboards.
  • Ensure data integrity across sources and systems.
  • Communicate complex information clearly to multiple stakeholders.

Skills

Revenue analysis
Reservations
Commercial finance
Advanced Excel
Pivot tables
Data accuracy
Confidentiality
Bilingual EN/IT

Education

No specific degree stated

Tools

PMS/CRS
Protel
iHotelier
SynXis
BI tools

Job description

Reschio S.r.l. in Umbria invites applications for an on-site Senior Revenue Analyst.

You will work closely with the Hotel Manager, General Manager, Reservations, Sales, Marketing and Finance to optimize pricing, inventory and distribution, translating data into actionable recommendations. This role requires advanced Excel skills, confidentiality, and the ability to communicate complex insights to diverse stakeholders.

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