Senior Data Analyst – Labour & Productivity

Sohohouseco·Londonsenior

In short

→Analista de datos senior que optimiza mano de obra en operaciones multi-sitio, enfocado en equilibrar eficiencia y experiencia del cliente.
→Trabaja con finanzas y operaciones para transformar datos en decisiones accionables sobre turnos, productividad y pronósticos.
→Destaca por su experiencia real en mejorar porcentajes de salarios y su capacidad de influir en decisiones con herramientas prácticas y modelos claros.

Ningún requisito explícito de inglés, pero el entorno es global.

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The questions they'll ask you

1. ¿Cómo mediste el impacto de un cambio en el horario de trabajo en un sitio específico y qué levers ajustaste?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia comprobada en optimización de mano de obra con resultados medibles en operaciones multi-sitio.
✓Capacidad demostrada de colaborar con equipos de finanzas y operaciones para implementar cambios, no solo reportar datos.
✓Varios años en análisis con exposición real a operaciones en hospedaje, retail, ocio o QSR.
✓Dominio avanzado de SQL y experiencia con data warehouse modelado (dbt es ventaja).
✓Experiencia en desarrollo de BI (Looker, Tableau, Power BI u Omni) para crear herramientas utilizadas por operadores.
✓Conocimiento práctico de datos de rotas, asistencia y nómina, con comprensión de sus limitaciones reales.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLdbtLookerTableauPower BIOmniUnifocusHotSchedulesDayforceFourth

Who should you write to at Sohohouseco?

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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

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