At a Glance
- Tasks: Analyse data to optimise labour productivity and improve workforce efficiency.
- Company: Join a leading multi-site business in the hospitality sector.
- Benefits: Competitive daily rate, hybrid working, and contract flexibility.
- Other info: Collaborate across teams to drive measurable commercial results.
- Why this job: Make a real impact on workforce productivity in a dynamic environment.
- Qualifications: 5+ years in analytics with strong SQL and BI skills required.
The predicted salary is between 54000 - 66000 £ per year.
We are looking for a Data Scientist / Data Analyst with proven labour optimisation experience to support a major workforce productivity programme within a large, multi-site business.
The two things I need to see:
- Proven labour optimisation experience – delivering measurable improvements across labour productivity, wage % to sales, sales per labour hour, scheduling or labour deployment.
- Strong Finance & Operations stakeholder management – able to turn analysis into actions and measurable commercial results.
What you’ll need:
- 5+ years’ analytics / data science experience in a multi-site environment – hospitality, retail, leisure or QSR preferred
- Advanced SQL and data warehouse experience – Snowflake / dbt advantageous
- Strong Excel financial modelling and understanding of P&L / labour costs
- Strong BI development – Power BI, Tableau, Looker or Omni
- Experience with rota, time & attendance and payroll data
The role includes:
- Labour productivity & workforce analytics
- Labour modelling and demand-led scheduling
- Identifying and sizing productivity opportunities
- Working across Data, Finance and Operations
If you have the labour optimisation + analytics + stakeholder experience, we’d like to speak with you. Apply now or message directly for more details.
Data Scientist - Labour Productivity / Hospitality in City of London employer: Talent Locker
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