Senior Data Analyst - Workforce Management
Posted 7 days ago by Oliver Bernard
£90 Per hour
Outside
Hybrid
London Area, United Kingdom
Summary: The role of Workforce Management Data Analyst involves supporting data-driven workforce planning, forecasting, and optimization in a hybrid work environment. The analyst will collaborate with Operations, Finance, and HR teams to provide insights that enhance staffing efficiency and service levels. This hands-on position requires expertise in data analysis and the ability to communicate findings to senior stakeholders effectively. The contract is for six months, with the possibility of extension, and is classified as outside IR35.
Key Responsibilities:
- Analyse historical workload and staffing data to create accurate demand forecasts.
- Build and maintain workforce capacity models to optimise scheduling and resourcing.
- Support long- and short-term workforce planning across multiple business units.
- Extract, clean, and transform data from WFM, HR, and operational systems.
- Produce dashboards and reporting to monitor performance, productivity, and service levels.
- Identify trends, risks, and opportunities to improve workforce utilisation.
- Evaluate schedule adherence, shrinkage, and occupancy metrics.
- Recommend improvements to shift patterns, rostering, and resource allocation.
- Support continuous improvement initiatives using data-led insights.
- Partner with Operations, Finance, and HR to understand workforce challenges.
- Translate complex data into clear recommendations for non-technical stakeholders.
- Present findings to senior leadership and support decision making.
Key Skills:
- Advanced SQL on cloud data warehouses (essential) — strong Redshift experience (or equivalent).
- Building robust datasets from disparate sources (essential).
- WFM metrics and concepts (highly desirable).
- Highly analytical and detail-oriented.
- Strong problem solver who can turn data into actionable business decisions.
- Excellent stakeholder management and communication skills.
Salary (Rate): £90.00/hr
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Workforce Management Data Analyst
Location: London (Hybrid – 2 days per week in the office)
Contract: 6 months
Rate: £550 per day (Outside IR35)
Overview
We are seeking an experienced Workforce Management (WFM) Data Analyst to support data-driven workforce planning, forecasting, and optimisation. This role will work closely with Operations, Finance, and HR teams to provide actionable insights that improve staffing efficiency, service levels, and cost control. This is a hands-on analytics role suited to someone comfortable working with large datasets, building models, and communicating insights to senior stakeholders.
Key Responsibilities
- Workforce Planning & Forecasting
- Analyse historical workload and staffing data to create accurate demand forecasts.
- Build and maintain workforce capacity models to optimise scheduling and resourcing.
- Support long- and short-term workforce planning across multiple business units.
- Data Analysis & Insights
- Extract, clean, and transform data from WFM, HR, and operational systems.
- Produce dashboards and reporting to monitor performance, productivity, and service levels.
- Identify trends, risks, and opportunities to improve workforce utilisation.
- Scheduling & Performance Optimisation
- Evaluate schedule adherence, shrinkage, and occupancy metrics.
- Recommend improvements to shift patterns, rostering, and resource allocation.
- Support continuous improvement initiatives using data-led insights.
- Stakeholder Collaboration
- Partner with Operations, Finance, and HR to understand workforce challenges.
- Translate complex data into clear recommendations for non-technical stakeholders.
- Present findings to senior leadership and support decision making.
Required Skills & Experience
- Advanced SQL on cloud data warehouses (essential) — strong Redshift experience (or equivalent), comfortable writing performant, well-structured queries and building reusable modelled views on top of already-staged data
- Building robust datasets from disparate sources (essential) — proven ability to reconcile and combine data across multiple operational systems into a single coherent, trustworthy model, resolving conflicting definitions and grain mismatches along the way
- WFM metrics and concepts (highly desirable) — working knowledge of workforce management fundamentals: demand/volume, AHT, shrinkage, occupancy, schedule adherence and efficiency, productivity, and supply/capacity
Working Arrangement
Hybrid working: 2 days per week in the London office
Outside IR35 contract
Initial 6-month engagement with potential extension
Ideal Candidate Profile
- Highly analytical and detail-oriented.
- Comfortable working autonomously in a contract environment.
- Strong problem solver who can turn data into actionable business decisions.
- Excellent stakeholder management and communication skills.