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Quilter

Lead Data Analyst – Operational Excellence

Quilter

Lead Data Analyst role at Quilter overseeing operational excellence through data insights and cost-to-serve modeling. Collaborating across departments to drive strategic decision-making and performance optimization.

Posted 6/30/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing scalable cost models and integrating diverse data sources to provide actionable business insights. Proficient in advanced statistical analysis and scenario modeling to support operational excellence and decision-making.

Highest-signal resume keywords
Advanced SQLPython ProficiencyCost ModellingScenario ModellingPower BI Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Activity-Based CostingCluster AnalysisRegression ModellingTime Series ModellingQuantitative AnalysisStatistical AnalysisData CleansingData TransformationData Quality AssuranceOperational Analysis
Soft Skills
CollaborationCommunicationAnalytical ThinkingProblem SolvingStakeholder Engagement
Tools & Technologies
DatabricksPower BI
Industry Keywords
Operational ExcellenceContinuous ImprovementCost AllocationsFinancial DataContact Centre Operations

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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 (eg, 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

What you’ll need
  • 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 e.g 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

Benefits

Comp & perks
  • Holiday: 182 hours (26 days)
  • Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution.
  • Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions.
  • Healthcare Cash Plan: Jersey employees only.
  • Benefit Allowance: A cash benefit allowance is payable in lieu of some of our core benefits. In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction.