Senior Revenue Optimisation & Forecasting Lead

Parkdean Resorts; Newcastle upon Tyne; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Employee Assistance Programme

Holiday discounts 50% for you

Friends & family 25% discount

Team member 30% discount

Partner discounts (HelloFresh, gyms, &

Job summary

Parkdean Resorts is seeking a Lead Revenue Optimisation Scientist to lead advanced analytics, forecasting and pricing optimisation across our commercial teams. You will design, test and implement revenue initiatives, develop forecasting and pricing models, and partner with senior leaders to maximise commercial performance.

You'll mentor Revenue Optimisation Scientists, collaborate with Data, IT and Commercial teams, and translate complex data into actionable business insights.

Qualifications

• Degree in a numerical discipline or equivalent analytics qualifications.
• 5+ years applying advanced analytics in a commercial environment.
• Track record leading analytical projects delivering measurable business value.
• Deep knowledge of analytical modelling and data science techniques.

Responsibilities

• Lead analytical approaches to complex revenue management challenges using advanced analytics and data science.
• Identify opportunities to improve revenue and margin across Parkdean Resorts.
• Partner with senior stakeholders to prioritise high-value analytical initiatives.
• Develop forecasting, pricing and optimisation methodologies and productionise tools.

Skills

SQL

Python

R

Data analysis

Pricing optimisation

Forecasting

Education

Numerical degree (or equivalent analytics qualifications)

Tools

Power BI

Excel

Job description

Parkdean Resorts is seeking a Lead Revenue Optimisation Scientist to lead advanced analytics, forecasting and pricing optimisation across our commercial teams. You will design, test and implement revenue initiatives, develop forecasting and pricing models, and partner with senior leaders to maximise commercial performance.

You'll mentor Revenue Optimisation Scientists, collaborate with Data, IT and Commercial teams, and translate complex data into actionable business insights.