Senior Data & Reporting Analyst, Claims Fraud & Recovery

Responsibilities

• 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 work streams
• Support strategic projects and initiatives

• 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