Top Data & Analytics Jobs

Support pricing, reserving, reinsurance analytics, and portfolio monitoring for homeowners lines. Build pricing tools, perform reserve analyses, produce ceded loss reporting, create dashboards, and collaborate cross-functionally to improve processes and data quality.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

The Data Services Manager will oversee data movement and processing, ensuring accurate data for mail files, handling file conversions, data cleansing, and providing analytical reports. The role involves collaborating with clients and teams to troubleshoot and address data-related issues.

Support Global Specialty underwriting by sourcing, transforming, and analyzing data to produce KPI frameworks, automated workflows, and clear insights. Partner cross-functionally with Underwriting, Data Science, BI, and Engineering to build dashboards, perform statistical analyses, and present recommendations to leadership while maintaining documentation and data governance.

The Business Data Analyst connects IT with store operations, supports retail systems, oversees daily operations, and ensures data accuracy while enhancing project execution and communication across teams.

The role involves developing analytics solutions, dashboards, and predictive models to enhance product quality and compliance in a global quality system.

Design, develop, and maintain Power BI dashboards, reports, and data models; gather requirements from stakeholders; ensure data accuracy, governance, and security; optimize performance; document solutions; train and support business users.

The Quantitative Researcher will develop innovative quantitative strategies using statistical methods and machine learning algorithms to analyze market data and identify trading opportunities.

The Fraud & Risk Analyst will conduct investigations of suspicious activities, collaborate with various teams, and enhance fraud detection processes to protect clients and the company.

Analyze product and business data to define KPIs, build reliable analytics models and dashboards, and partner with cross-functional teams to surface insights, improve data quality, and support forecasting and experimentation.