Pan Pacific Hotels Group is a young and dynamic company comprising three well-established and trusted brands; Pan Pacific®, PARKROYAL COLLECTION® and PARKROYAL®. We have aggressive expansion plans and as such, we are looking for motivated and energetic people to be part of our growing team. If you have a passion for the industry and are driven by the desire to create Service Excellence Culture, Pan Pacific Hotels Group is able to offer you great opportunities as we continue to strengthen our global footprint.

Based in Singapore Corporate Office, we are looking for a passionate and energetic individual to join us as Revenue Data Scientist.

Job Responsibilities:

We are seeking a Revenue Data Scientist to join our Corporate Commercial Strategy team, supporting Sales and Revenue Management. In this role, you will transform portfolio-wide booking, pricing, demand and distribution channel data into meaningful insights that drive commercial performance across our hotel portfolio.

The ideal candidate combines strong expertise in data science, statistics and predictive analytics with a passion for business intelligence. You will be equally adept at developing forecasting models and creating intuitive dashboards that empower revenue managers, sales leaders and hotel executives to make informed, data-driven decisions.

Primary Responsibilities:

Partner with Revenue Management and Sales leadership to identify analytical needs and translate business questions into data-driven solutions.
Design, build, and maintain BI dashboards and reporting (e.g., Power BI, Tableau) that track pricing, occupancy, RevPAR, ADR, pace, segmentation, and channel performance across the portfolio.
Develop demand forecasting, pricing elasticity, and rate optimization models to support revenue management decisions.
Build predictive models for group and transient booking pace, cancellation risk, no-show risk, and displacement analysis.
Analyze sales pipeline and account production data to identify opportunities and improve sales team effectiveness.
Consolidate data from PMS, CRS, RMS, CRM, and channel management systems into clean, reliable data models for reporting and analysis.
Establish which ever reports needed from Sales, Revenue Management into BI
Conduct ad hoc analysis on competitive positioning, market share (STR data), promotions, and pricing strategy performance.
Present findings and recommendations clearly to non-technical stakeholders, including senior revenue and sales executives.
Establish data quality standards, documentation, and self-service reporting practices to scale analytics across the organization.
Stay current on hospitality industry analytics trends, tools, and revenue management best practices.

Requirements:

Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related discipline.
3–6 years of experience in Data Science, Business Intelligence, or Analytics, preferably within the hospitality, travel, or another data-intensive commercial industry.
Strong understanding of hotel revenue management concepts, including RevPAR, ADR, booking pace, displacement, market segmentation, and pricing strategies.
Advanced proficiency in Power BI or Tableau, including data modelling (e.g., DAX or equivalent) and dashboard development.
Strong SQL skills with experience querying, transforming, and analysing large, multi-source datasets.
Working proficiency in Python or R for statistical modelling, forecasting, and machine learning.
Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable business insights.
Strong analytical mindset with exceptional attention to detail and a structured approach to problem-solving.

Pan Pacific Hotels Group is dedicated to providing equal employment opportunities, including individuals with disabilities.

We regret that only shortlisted candidates will be notified.

Revenue Data Scientist (Assistant Manager)