Head of Insurance Analytics & Data Science

MSIG USA

Atlanta (GA)

On-site

USD 225,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Healthcare and Retirement Benefits
401(k) with employer match
Tuition reimbursement program

Job summary

MSIG USA, based in Atlanta, Georgia, is searching for an Analytics Manager/Director to lead impactful initiatives in specialty insurance. The ideal candidate should have over 7 years of analytics experience and proven success in driving measurable business outcomes through data. Responsibilities include leading cross-functional teams, managing analytics solutions, and communicating insights effectively.

This role involves both technical execution and stakeholder engagement in a data-driven environment, requiring proficiency in Python, SQL, and strong problem-solving skills.

Qualifications

  • 7+ years of experience in analytics or data science with business impact.
  • Experience leading analytics initiatives and mentoring team members.
  • Proficiency in Python and SQL, and ability to write production-quality code.

Responsibilities

  • Lead a portfolio of analytics & data science initiatives.
  • Drive cross-functional delivery across Underwriting, Pricing, Claims.
  • Communicate findings to technical and non-technical audiences.

Skills

Analytics
Data Science
Python
SQL
Communication Skills
Statistical Analysis

Education

Bachelor’s degree in Statistics, Computer Science, Mathematics, or related field

Tools

Power BI
Tableau
Machine Learning Frameworks

Job description

MSIG USA, based in Atlanta, Georgia, is searching for an Analytics Manager/Director to lead impactful initiatives in specialty insurance. The ideal candidate should have over 7 years of analytics experience and proven success in driving measurable business outcomes through data. Responsibilities include leading cross-functional teams, managing analytics solutions, and communicating insights effectively.

This role involves both technical execution and stakeholder engagement in a data-driven environment, requiring proficiency in Python, SQL, and strong problem-solving skills.

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