The Role..
We are starting a labour optimisation programme with our Operations team, alongside FP&A and Data Science. The aim is to improve our wage percentage to sales while improving service standards at the same time. We are not interested in an approach that delivers one at the expense of the other.
We are currently selecting an advanced scheduling platform to support this. The analytical foundation underneath it,how we measure productivity, what our labour standards are, how good our demand forecasts need to be - is what this role owns.
You will sit in the Data team and work in close partnership with FP&A. Analysis alone will not move the number; changes stick when a Finance Business Partner and a General Manager can see the opportunity in their own House, agree the size of it and hold it in their forecast. Your job is to give them that, in a form they can act on.
Key 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
What we are looking for..
- 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
- Several 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 (experience with dbt an advantage)
- 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
Desirable..
- Experience with a workforce management or scheduling platform — Unifocus, HotSchedules, Dayforce, Fourth, S4 Labour, UKG, Quinyx or similar
- Strong financial modelling and fluency in P&L mechanics — wage percentage, flow-through, contribution
- 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 data analysis and modelling, and/or use of AI tooling such as Claude Code to accelerate it
- Experience linking labour deployment to customer experience outcomes
Benefits..
Soho House offers competitive compensation packages that feature global benefits and perks. Whether you’re seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to grow your career.
- Discounts at Soho House globally, as well as Soho Home and Cowshed
- Annual Every House Membership
- Enhanced Pension Scheme
- Private Health and Dental Care
- Cycle to Work Scheme/Season Ticket Loan
- In conjunction with Soho Impact, take 3 days paid a year to support a charity of your choice.
- Cookhouse & House Tonic: Our Cookhouse & House Tonic programmes offer unique food and drink trainings, events and opportunities to inspire and educate.
- Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to.
Skills Required
- Proven experience in labour optimisation with measurable improvements in wage percentage or sales per labour hour
- Experience partnering with finance and operational stakeholders to implement and sustain change
- Several years of analytics experience with multi-site operational exposure in hospitality, retail, leisure, or QSR
- Advanced SQL skills and comfort working with a modelled data warehouse
- Business intelligence development experience with Omni, Looker, Tableau, or Power BI
- Experience working with rota, time and attendance, and payroll data
- Ability to critically evaluate demand forecasts for accuracy, bias, and seasonality
- Experience with a workforce management or scheduling platform such as Unifocus, HotSchedules, Dayforce, Fourth, S4 Labour, UKG, or Quinyx
- Strong financial modelling skills and fluency in P&L mechanics, wage percentage, flow-through, and contribution
- Understanding of international labour regulations, including US predictive scheduling, fair workweek rules, overtime, and break requirements
- Labour standards or time-and-motion experience
- Python experience for data analysis and modelling and/or AI tooling experience such as Claude Code
- Experience linking labour deployment to customer experience outcomes
What We Do
Soho House & Co. operates a global membership platform of physical and digital spaces, including members' clubs, restaurants, hotels, and cinemas, catering to those in the film, media, fashion, and creative industries. It connects members worldwide to work, socialize, create, and drive positive change, offering food and beverage, accommodation, and spa services.
