Data Intelligence Analyst

Requirements

Description and Requirements

We are seeking a highly analytical and detail-oriented Data Intelligence Analyst to join our Insurance Analytics team. The role will focus on transforming raw data into meaningful insights to support strategic decision-making, improve operational efficiency, and enhance customer experience. The ideal candidate will possess strong technical skills in data analysis and visualization, combined with a solid understanding of insurance processes including policy administration, underwriting, claims, pre-approvals, call center operations, and customer experience.

Key Responsibilities

• Support the Data Intelligence and Reporting Manager with setting the data provisioning and democratization strategical direction and roadmap
• Ensure that data intelligence and reporting projects align with organizational goals

Data Management & Analysis: Conduct exploratory and advanced statistical analysis to identify trends, patterns, and anomalies in insurance data. Ensure data integrity, accuracy, and governance standards are met.

Reporting & Visualization: Develop interactive dashboard, workflows and reports (Power BI and Alteryx), providing actionable insights to business units (underwriting, claims, operations, actuarial, sales, customer service).

Business Insights: Perform root cause analysis on claims leakage, fraud patterns, and operational bottlenecks.

Collaboration & Stakeholder Management: Partner with business teams (Operations, IT, Risk, Compliance, Finance) to define data requirements and KPIs.

• Contribute to data democratization by enabling self-service reporting for business teams.
• Data Products Development: Design, build, and maintain data products such as; Customer 360 datasets / profiling, Claims performance dashboards for operational monitoring and leakage detection, Fraud detection models embedded as reusable analytics components, Pre-approval turnaround trackers for real-time SLA monitoring and Enable self-service data products for business teams, allowing them to access governed and trusted datasets without IT dependency.
• Key Skills & Competencies
• Bachelor’s or Master’s degree in any discipline (Preferred: Data Science, Statistics, Actuarial Science, Computer Science, or related field).
• 3–6 years of experience in data analytics, preferably within the insurance or financial services industry.
• Experience with insurance systems (policy administration, claims management, CRM) is highly desirable.
• Strong analytical and problem-solving skills with attention to detail.
• Proficiency in SQL, Python/R, and data visualization tools (Power BI).
• Understanding of insurance business processes: policy lifecycle, claims, underwriting, pre-approvals, call center, and customer experience metrics.
• Knowledge of statistical techniques (regression, classification, clustering) and predictive modeling.
• Strong communication skills to present findings to both technical and non-technical stakeholders
  
  
  

About MetLife

Recognized on Fortune magazines list of the 2025 "Worlds Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services.

At MetLife, it’s #AllTogetherPossible . Join us!

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