Senior Process Analytics Lead - Claims & Underwriting (Hybrid)

Gohyred; United States; Hybrid; USD 90,000 - 120,000; Full time

Job summary

Genpact is seeking a Sr. Analyst - Process Analytics focusing on Claims & Underwriting. You will analyze claims data, identify trends, and collaborate with cross-functional teams to drive process improvements.

This role requires strong analytics skills, experience with Excel, Power BI, Python, and data modeling, and a track record of delivering measurable improvements in processing efficiency. Hybrid work arrangement with global teams and English proficiency required.

Qualifications

• Bachelor’s degree in Business Analytics, Computer Science, or Statistics.
• Master’s degree in Data Science preferred.
• Strong analytical and statistical skills.
• Experience with claims data analytics is a plus.

Responsibilities

• Analyze and assess claims data to identify trends and issues
• Develop and implement strategies to improve claims processing efficiency
• Collaborate with cross‑functional teams to drive process improvements
• Ensure compliance with regulatory requirements related to claims operations
• Monitor and report on key performance indicators related to claims processing
• Provide guidance and support to claims operations staff
• Identify opportunities for cost savings and operational improvements within claims processes
• Assist in training and mentoring junior claims operations staff.

Skills

Agile Methodology

Collaboration Tools

Data Integration

Data Modeling

High Volume Replication

Inclusion

Excel

Power BI

VBA

Personal Effectiveness

Python

Statistics

Storytelling

Tableau

VBA Macros

Education

Bachelors - Business Analytics

Bachelors - Computer Science

Bachelors - Statistics

Masters - Data Science

Tools

Tableau

Power BI

Excel

VBA

Python

Job description

Genpact is seeking a Sr. Analyst - Process Analytics focusing on Claims & Underwriting. You will analyze claims data, identify trends, and collaborate with cross-functional teams to drive process improvements.

This role requires strong analytics skills, experience with Excel, Power BI, Python, and data modeling, and a track record of delivering measurable improvements in processing efficiency. Hybrid work arrangement with global teams and English proficiency required.