Data Analyst jobs in United Kingdom

Explore 72 matching jobs.

AIG

Junior Data Analyst, Fraud and Recovery

AIG

Posted: 10/21/2026
PythonSQL
Mears Group, Inc.

Data Analyst

Mears Group, Inc.

Posted: 10/21/2026
PMPSQLVBA
Insulet Corporation

Senior Field Analytics Analyst

Insulet Corporation

Posted: 10/20/2026
SFDCTableauVBA
Insulet Corporation

Senior Field Analytics Analyst – Distributor Markets

Insulet Corporation

Posted: 10/20/2026
SFDCTableauVBA
Cassini Systems

Product Manager, Analytics

Cassini Systems

Posted: 10/19/2026
AWSPythonSQLVBA
Oner Active

Web & Digital Analytics Manager

Oner Active

Posted: 10/19/2026
JavaScriptSQLTableau
Roche

Senior Insights & Analytics Specialist

Roche

Posted: 10/19/2026
University of Edinburgh Information Services Group

Senior Climate Data Analyst

University of Edinburgh Information Services Group

Posted: 10/16/2026
Profitero

Technical Data Operations Analyst

Profitero

Posted: 10/15/2026
Profitero

Commercial Analytics Manager

Profitero

Posted: 10/15/2026
PMP
Cloudflare

Data Analyst

Cloudflare

Posted: 10/15/2026
AirflowApacheSQL
Canopius Group

Complaints Data Analyst

Canopius Group

Posted: 10/15/2026
Wiley

Senior Data Analyst

Wiley

Posted: 10/15/2026
BigQueryCloudPythonSQL
Veremark

Business, Data Analyst

Veremark

Posted: 10/14/2026
PythonSQL
Legends

Senior Data Analyst

Legends

Posted: 10/13/2026
PythonSQLTableau
Infopro Digital

Data Analyst

Infopro Digital

Posted: 10/13/2026
Tableau
Immersive Labs

Associate Data Analyst, 12 Month FTC

Immersive Labs

Posted: 10/12/2026
SQLGo
Mozilla

Senior Data Analyst

Mozilla

Posted: 10/12/2026
AndroidBigQueryRustSQLC++
Scottish Development International

Senior Data Analyst, Report Developer

Scottish Development International

Posted: 10/12/2026
NatWest Group

Data & Analytics Transformation Programme Manager

NatWest Group

Posted: 10/12/2026
AIG

Junior Data Analyst, Fraud and Recovery

AIG
Posted 10/21/2026full-timeCroydon • United KingdomJuniorWebsite
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Core Competencies

Role fit
Core Competencies

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

Demonstrates strong analytical capabilities in data analysis and fraud detection, with proficiency in Microsoft Excel and experience in producing performance reports and dashboards. Familiarity with the insurance industry and a detail-oriented approach to problem-solving are essential.

Highest-signal resume keywords
Data AnalysisFraud DetectionMicrosoft Excel ProficiencySQLInsurance Industry Knowledge

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Support the Global Fraud and Recovery team
  • Analyze datasets to pinpoint anomalies and determine relationships or connections in the data
  • Produce reports and identify trends and anomalies
  • Help identify fraud and recovery opportunities
  • Collaborate with fraud specialists, claims teams, data professionals, and an offshore team
  • Produce KPIs for Fraud and Recovery on a monthly, quarterly, and annual basis for Global stakeholders
  • Gather, clean, and validate data from multiple sources
  • Analyze data to identify trends, anomalies, and emerging risk indicators
  • Produce monthly and quarterly reports for global stakeholders
  • Conduct root cause analysis and provide recommendations to improve processes and accuracy
  • Draft and maintain issue logs

Requirements

What you’ll need
  • Previous experience in data analysis, business analysis, reporting, claims, fraud operations, recovery function, or a related field is beneficial but not essential
  • Early-career professionals are welcome
  • Prior experience in the insurance industry or fraud detection is a plus
  • Basic understanding of major insurance products, including Auto, Property and Casualty
  • Detail-oriented, analytical mindset with strong decision-making and problem-solving abilities
  • Self-motivated, proactive, and forward-thinking, with the ability to plan, organize, and structure work effectively
  • Ability to produce regular fraud and recovery performance reports and dashboards
  • Strong proficiency in Microsoft Excel, including pivot tables, formulas, and lookups, and PowerPoint
  • Experience with SQL, Python, R, or similar analytical tools is preferred but not essential
  • Passion for insurance, data analysis, fraud detection, and solving complex problems
  • High sense of ownership, accountability, and commitment to delivering high-quality work
  • Ability to draft and maintain issue logs, including tracking, updating, cleaning up, and prioritizing items

Benefits

Comp & perks
  • Comprehensive Total Rewards Program focused on health, wellbeing, financial security, and professional development
  • Continuous learning and development
  • Culture of inclusion and belonging
  • Employee Resource Groups (ERGs)
  • Reasonable accommodations for applicants and employees with disabilities

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
Data AnalysisReportingFraud OperationsRoot Cause AnalysisKPI ProductionData CleaningTrend IdentificationAnomaly DetectionDashboard CreationIssue Log Maintenance
Soft Skills
Detail-OrientedAnalytical MindsetDecision-MakingProblem-SolvingSelf-Motivated
Tools & Technologies
Microsoft ExcelPowerPointSQLPythonR
Industry Keywords
Insurance IndustryFraud DetectionClaimsRecovery FunctionAuto InsuranceProperty InsuranceCasualty Insurance