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Information Technology 🏢 Full Time ⭐️ Verified

Senior Insurance Data Analyst

Apex InsurTech Solutions
New York
Salary Estimate
USD 95.000 – USD 130.000
Latest
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Lead the Future of InsurTech Analytics

Apex InsurTech is seeking a dynamic and analytical Senior Insurance Data Analyst to join our high-performing team in New York City. In this role, you will leverage advanced data science techniques to drive decision-making, optimize claims processing, and minimize risk exposure. We are looking for a thought leader who can translate complex datasets into actionable strategies that benefit both the company and our clients.

Why Join Us?

As a leader in the insurance technology space, we offer a competitive salary, comprehensive benefits, and a culture that prioritizes innovation and professional growth. You will have the autonomy to shape our data strategy and the resources to make a significant impact on the industry.

Responsibilities

  • Predictive Modeling: Develop and maintain sophisticated predictive models to forecast claim severity, identify fraud patterns, and refine underwriting criteria.
  • Claims Optimization: Analyze historical claims data to identify bottlenecks and implement process improvements that enhance operational efficiency.
  • Dashboarding: Design and maintain interactive, executive-level dashboards using Tableau and PowerBI to visualize key performance indicators (KPIs) and trends.
  • Data Governance: Establish and enforce data quality standards and governance protocols to ensure compliance with industry regulations (e.g., NAIC, state-specific laws).
  • Collaboration: Work closely with underwriters, actuaries, and product managers to integrate data insights into core business strategies.
  • Research: Stay abreast of the latest trends in insurance analytics and machine learning to propose innovative solutions.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Experience: 5+ years of experience in data analytics, specifically within the insurance or financial services sector.
  • Technical Proficiency: Strong expertise in Python (Pandas, Scikit-learn), SQL, and R.
  • Visualization: Proven experience creating visualizations in Tableau, PowerBI, or similar tools.
  • Communication: Excellent verbal and written communication skills with the ability to present complex data to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to troubleshoot complex data issues and derive actionable insights.

Required Skills

Python SQL Data Analysis Machine Learning Risk Management Tableau Insurance Financial Services Data Visualization Data Modeling

Ready to Take on This Challenge?

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