At a Glance
- Tasks: Design and build scalable cost models, integrating data sources for insightful analysis.
- Company: Join a forward-thinking company focused on operational excellence and data-driven decisions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Make a real impact by translating complex data into actionable business insights.
- Qualifications: Degree in analytics or equivalent experience; advanced SQL and Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
- Design and build a scalable cost to serve model covering the full value chain, mapping cost drivers to operational activities using activity‑based costing principles.
- Integrate multiple data sources (e. g., finance, operations, etc.) into a unified analytical model.
- Extract, cleanse, and transform large datasets from operational systems and establish repeatable processes for updating the model.
- Ensure data quality, consistency, and documentation of assumptions.
- Develop flexible models to simulate different scenarios to quantify financial and operational impacts under different scenarios.
- Drive analysis for other data initiatives to support our ambition.
- Translate complex outputs into clear business insights for stakeholders and provide actionable recommendations aligned to operational excellence priorities.
- Collaborate with Finance, Operations, and data teams to validate assumptions and outputs.
- Act as a bridge between the technical data and business decision‑making.
- Create and maintain documentation of models, methodologies, and assumptions, ensuring transparency, auditability, and version control.
Requirements
- Degree in an analytical discipline (e. g., statistics, computer science, maths) or evidence of equivalent practical experience.
- Advanced SQL, strong proficiency in Python and use of Databricks.
- Experience with BI tools (Power BI).
- Strong modelling skills (cluster analysis, regression modelling, time series modelling).
- Experience in cost modelling, preferably cost‑to‑serve or activity‑based costing.
- Strong quantitative and statistical analysis capabilities.
- Experience in scenario modelling, simulation, and sensitivity analysis.
- Understanding of operational processes within a contact centre desirable but not essential.
- Experience working with financial data (e. g., cost allocations, margins) desirable.
- Exposure to Operational Excellence / continuous improvement frameworks desirable.
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We think you need these skills to ace Lead Data Analyst – Operational Excellence
Activity-Based Costing
Data Integration
Data Cleansing
Data Transformation
SQL
Python
Databricks
