Personal Risk Services Data Analyst
@ Chubb External

Chesapeake, Virginia, United States
$110,000
On Site
Full time
Posted 1 day ago

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XXXXXXXXX XXXXXXXXX XXXXXX****** @chubb.com
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Job Details

Personal Risk Services Data Analyst

The Personal Risk Services Data Analyst will support the team’s strategic objectives by providing data analysis and project support to enhance services, optimize inspection workflows, and strengthen vendor partnerships. This role focuses on improving efficiency, reducing costs, and enhancing customer satisfaction. Working closely with Risk Consulting leadership, the analyst will align initiatives with business goals, deliver measurable results, and gain valuable exposure to strategic decision-making and data-driven process improvement.

Key Responsibilities

  • Analyze data from Risk Consulting systems to identify trends and KPIs.
  • Create and deliver detailed management reports on a regular basis.
  • Lead quarterly meetings with leadership to present findings and recommendations.
  • Evaluate and enhance existing business processes and workflows.
  • Collaborate with cross-functional teams to implement process improvements.

Key Skills/Competency

  • Data Analysis
  • Reporting
  • Data Visualization
  • Process Improvement
  • Project Management
  • Strategic Planning
  • Communication
  • Risk Management
  • Collaboration
  • Problem Solving
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How to Get Hired at Chubb External

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data analysis experience.
  • Prepare examples: Show measurable project improvements.
  • Network on LinkedIn: Connect with Chubb professionals.
  • Research risk consulting: Understand industry trends deeply.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and data querying tools.
Practice advanced Excel analysis techniques.
Study data visualization software basics.
Familiarize with risk consulting systems.

Behavioral Questions

Describe a challenge you solved with data.
Explain a time you improved a process.
Share an experience in cross-team collaboration.
Detail how you presented complex data to leadership.

Frequently Asked Questions