Data Analyst – Labour Productivity / Hospitality

Job Description

Data Analyst - Staff Optimisation / Hospitality

London | Hybrid, 2 days per week | £550 to £700 per day | Outside IR35

A contract Data Analyst role working on a major staff optimisation and productivity programme across a large, multi site hospitality business.

This isn't a general Data Analyst role. The key is having experience using data to understand staffing levels, rotas, wage costs and sales, then helping individual sites improve productivity without impacting customer service.

What you'll be doing

• Looking at staff /labour productivity across multiple sites and identifying where improvements can be made
• Analysing wage costs, sales per staff hour, staffing levels and shift patterns
• Using sales and demand data to understand how many people sites need and when
• Improving reporting around staff costs, productivity, rotas and scheduling
• Identifying and sizing opportunities to improve productivity
• Working closely with Finance, Operations, General Managers and the Data team
• Helping sites understand where they can improve and what changes they can actually make

What you'll need

• Proven experience improving staff / Labour productivity within a multi site business
• Hospitality, retail, leisure or QSR experience strongly preferred
• Strong SQL and Excel skills
• Good understanding of P&L, wage costs and site level performance
• Power BI, Tableau, Looker, Omni or similar
• Experience working with rota, time and attendance and payroll data
• Strong stakeholder management across Finance and Operations

Snowflake, dbt and workforce scheduling systems such as Fourth, HotSchedules, Dayforce, UKG or Quinyx would be useful.

The key is being able to show where you've used data to improve staffing, wage costs or productivity across multiple sites, rather than simply producing reports.