Senior Data Analyst: Labour & Productivity Lead

Soho House & Co.; Greater London; Hybrid; GBP 111,000 - 166,000; Full time

Job summary

Soho House & Co. seeks a Senior Data Analyst – Labour & Productivity (Contractor) to drive labour optimisation and productivity improvements across multiple sites.

You will partner with Operations, FP&A and Data Science to measure, model and implement scheduling changes that improve wage percentage without compromising service standards. You will build robust reporting and collaborate with Finance to translate demand forecasts into labour requirements, while evaluating forecast accuracy and

Qualifications

• Proven experience in labour optimisation. You have personally delivered measurable improvement in wage percentage or sales per labour hour in a multi-site operation, and can talk us through the levers you pulled, how you sized them and how you proved the result
• A track record of partnering finance and operational stakeholders to land change, not just report on it
• 5+ years in an analytics role, with genuine multi-site operational exposure — hospitality, retail, leisure or QSR
• Advanced SQL, and comfort in a modelled data warehouse (Snowflake and dbt an advantage)
• Strong financial modelling in Excel, and fluency in P&L mechanics — wage percentage, flow-through, contribution
• BI development experience (Omni, Looker, Tableau or Power BI), building tools operators actually use
• Experience with rota, time and attendance and payroll data, and a realistic view of its challenges
• Able to evaluate a demand forecast critically — accuracy, bias, seasonality — without needing to build one
• Experience with a workforce management or scheduling platform — Unifocus, HotSchedules, Dayforce, Fourth, S4 Labour, UKG, Quinyx or similar
• An understanding of how labour regulation constrains labour models internationally, particularly the US — predictive scheduling and fair workweek rules, overtime and break requirements
• Labour standards or time-and-motion experience
• Python for analysis, or use of AI tooling such as Claude Code to accelerate it
• Experience linking labour deployment to customer experience outcomes

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

Skills

Labour optimisation

Finance partnership

Multi-site analytics

Advanced SQL

Data warehouse modelling

Excel modelling

BI development

Time & attendance data

Python for analysis

AI tools (Claude/Code)

Tools

Snowflake

dbt

Looker

Tableau

Power BI

Unifocus

HotSchedules

Dayforce

Fourth

S4 Labour

UKG

Quinyx

Job description

Soho House & Co. seeks a Senior Data Analyst – Labour & Productivity (Contractor) to drive labour optimisation and productivity improvements across multiple sites.

You will partner with Operations, FP&A and Data Science to measure, model and implement scheduling changes that improve wage percentage without compromising service standards. You will build robust reporting and collaborate with Finance to translate demand forecasts into labour requirements, while evaluating forecast accuracy and