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Senior Data & Reporting Analyst, Claims Fraud & Recovery
AIGData & 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.
Tech Stack
Tools & technologiesPythonSQLTableau
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
✓ Tailor your resumeApplicant 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