hirly

Soho House

Senior Data Analyst – Labour & Productivity

London, England, United Kingdom

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Soho House first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Senior
Country
GB
Work mode
On-site / unstated
First seen by hirly
6 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Original posting on Soho House's site ↗

Listed on hirly, a job board. hirly is not the employer: Soho House is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job