Senior Data Analyst – Labour & Productivity

About the role

This role involves leading a labour optimisation programme to improve wage percentage to sales while maintaining service standards. You will work within the Data team, partnering with FP&A and Operations to build analytical foundations, labour standards, and demand forecasting models. The goal is to provide actionable insights that allow Finance Business Partners and General Managers to drive efficiency and measure impact.

Responsibilities

• Labour productivity analysis, identifying site-by-site opportunities for efficiency gains and sizing each one
• Work with Operations and Finance to trial changes to scheduling and measure their impact
• Build improved labour reporting, so Business Partners and GMs can see productivity, schedule changes and shift adherence on a daily and weekly cadence
• Support Finance translate demand forecasts into labour requirements, helping to build the models that turn covers, check-ins, treatments and occupancy into hours by role
• Partner with our Data Science and Operations teams to understand forecast accuracy and recommend improvements
• Connect labour deployment to member experience, so that productivity gains are demonstrably not coming out of the House

Required skills

• Labour optimisation
• SQL
• Financial modelling
• Excel
• BI development
• Data warehouse
• P&L mechanics

Nice to have

• Workforce management platforms
• Labour regulation
• Labour standards
• Time-and-motion
• Python
• AI tooling

Qualifications

• 5+ years in an analytics role with multi-site operational exposure