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AIG

Senior Data & Reporting Analyst, Claims Fraud & Recovery

AIG

Data & Reporting Senior Analyst at AIG managing global analytics for Claims Fraud and Recovery. Collaborating across teams and delivering insights to minimize risk and support strategic projects.

Posted 6/7/2026full-timeCharlotte • Connecticut, North Carolina • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Responsible for global reporting, analysis, and data management for GI Claims Fraud and Recovery
  • Deliver monthly and quarterly results at a Global/Regional/Product level, including Monthly Business Reviews, Quarterly Business Reviews, Deep Dive reporting, etc.
  • Bring trend insights to F&R and Claims leadership and collaborate on the underlying story driving changes to metrics
  • Perform analysis of fraud, recovery, and loss information and identify trends that will minimize business and operational risk as well as contextualize business changes
  • Manage quality control process of data for Fraud and Recovery, i.e. gathering, cleansing, reconciling data and working with business managers to correct data
  • Support data governance framework and processes within F&R and act as the point of contact with the AIG Data Governance team
  • Develop, deploy, and manage production of visualization dashboards for internal and external stakeholders
  • Build analytical capabilities leveraging in-house and vendor technologies
  • Support digital and data projects and liaise with the AIG Data Office and third parties on data-related tasks, e.g. data mappings, data validation, user acceptance testing, etc.
  • Work in close partnership with F&R Regional Performance team to support operational and strategic deliverables
  • Support risk management efforts and manage analytical models
  • Conduct industry research and incorporate data from external resources into current reporting workstreams
  • Support strategic projects and initiatives

Requirements

What you’ll need
  • 6+ years in Business Analysis, Risk, Fraud (investigative services) and/or Claims Recovery
  • Bachelor’s degree in computer science, business, finance or related field
  • High proficiency in MS Office applications, including Excel, Powerpoint, Word, Access
  • Experience with Power BI, Tableau, or other data visualization tools to transform data into meaningful dashboards
  • Intermediate knowledge of SQL and/or Python
  • Experience working with and interpreting large sets of data
  • Excellent verbal, written, and presentation skills are necessary
  • Analytical, critical-thinking and problem-solving abilities
  • Ability to manage multiple deliverables
  • Ability to collaborate with cross-functional teams

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
  • Volunteer Time Off
  • Matching Grants Programs

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 & Tools
data managementdata analysisfraud analysisrecovery analysisdata cleansingdata reconciliationdata governanceanalytical modelsSQLPython
Soft Skills
analytical skillscritical-thinkingproblem-solvingcollaborationcommunicationpresentation skillsorganizational skillsability to manage multiple deliverables