Senior Data Analyst – Labour & Productivity (Contractor)

Carbon Data Solutions; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Carbon Data Solutions is seeking an analytics professional to lead its labour optimisation programme within the Operations team. You will own the analytical foundation—defining how we measure productivity and determine labour standards—and translate this into actionable insights for the forecast.

Working closely with FP&A, you will develop and test scheduling changes, build clear labour dashboards, and present opportunities to General Managers so they can forecast and fund improvements.

Qualifications

• Proven experience in labour optimisation with measurable gains across multiple sites.
• Experience partnering finance and operations to land change, not just report on it.
• 5+ years in analytics with multi-site exposure in hospitality/retail/leisure/QSR.
• Advanced SQL proficiency; comfortable with a modeled data warehouse (Snowflake/dbt advantageous).
• Strong Excel-based financial modelling; fluent with wage percentage, flow-through and contribution.
• BI development experience using tools operators actually use (Omni/Looker/Tableau/Power BI).
• Experience with rota, time & attendance and payroll data.
• Ability to critically evaluate demand forecasts for accuracy, bias and seasonality.

Responsibilities

• Labour productivity analysis and identify site-by-site efficiency opportunities.
• Collaborate with Operations and Finance to trial scheduling changes and measure impact.
• Build improved labour reporting for daily and weekly visibility to Business Partners and GMs.
• Translate demand forecasts into labour requirements and support models linking covers to hours by role.
• Partner with Data Science and Operations to understand forecast accuracy and improvements.
• Connect labour deployment to member experience to avoid compromising service.

Skills

Labour optimisation

Finance & ops partner

Analytics multi-site

Advanced SQL

Financial modelling in Excel

BI development

Rota/time & attendance/payroll data

Demand forecast evaluation

Tools

Snowflake

dbt

Omni

Looker

Tableau

Power BI

Job description

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

Required skills and experience

• 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

Desirable

• 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

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