Lead Data Analyst

i3; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive benefits

Tuition assistance

Wellness programs

Paid time off

Job summary

i3 in New York, NY is seeking a Data Insights Lead to transform how reserving data is used across a leading global insurance organization. You will partner with actuarial, finance, claims, underwriting, and data teams to build analytics solutions that improve insight and decision-making.

You will lead dashboards and data products, turning complex insurance data into actionable intelligence while replacing manual processes with automated solutions. Hybrid work with 3 days in office.

Qualifications

• Experience in data, analytics, actuarial, finance, or a related insurance or reinsurance role.
• Design, improve, or deliver data and analytics solutions for business users.
• Deep understanding of insurance/reinsurance data (claims, policy, exposure, premium, underwriting, finance, actuarial).
• Ability to lead through influence and work with technical teams.
• Strong communication to make complex data actionable.
• Experience creating dashboards, datasets, and self-service tools.
• Curiosity about AI and emerging technologies for practical use.

Responsibilities

• Lead development of dashboards, datasets, and self-service analytics for reserving performance.
• Turn complex reserving data into actionable business insights.
• Improve reporting by automating manual processes.
• Identify trends and reserve movements to explain drivers and risks.
• Collaborate with data, actuarial, finance, and tech teams to ensure high-quality data.
• Explore AI opportunities to enhance reserving insights and efficiency.
• Establish reporting governance and data definitions best practices.

Skills

Leadership

Communication

Cross-functional collaboration

Data analytics

Tools

Power BI

Job description

Data Insights Lead – Insurance Reserving

New York, NY (Hybrid – 3 days in office)

Annual bonus: 20–25% target

Comprehensive benefits including medical, retirement, paid time off, wellness programmes, and tuition assistance.

We're looking for a Data Insights Lead to transform how reserving data is used across a leading global insurance organisation. This is a unique opportunity to partner with actuarial, finance, claims, underwriting, and data teams to build modern analytics solutions that improve insight, reduce manual processes, and support strategic decision-making.

What you'll do

• Lead the development of dashboards, datasets, and self-service analytics that provide clear insight into reserving performance.
• Turn complex insurance data into meaningful, actionable intelligence for business stakeholders.
• Improve reporting by replacing manual processes with scalable, automated solutions.
• Identify trends and reserve movements, helping teams understand key drivers and emerging risks.
• Collaborate with data, actuarial, finance, and technology teams to ensure trusted, high-quality data is available for decision-making.
• Explore opportunities to apply AI and advanced analytics to enhance reserving insights and efficiency.
• Help establish best practices for reporting, data definitions, and governance.

Required Experience & Skills

• Experience in data, analytics, actuarial, finance, or a related insurance or reinsurance role.
• Experience helping to design, improve, or deliver data and analytics solutions for business users.
• A deep understanding of insurance or reinsurance data, including how claims, policy, exposure, premium, underwriting, finance, and actuarial information can be used to support analysis.
• The ability to lead through influence, work with technical teams, and bring people together around a shared outcome.
• Strong communication skills, including the ability to make complex data and analysis clear, practical, and actionable.
• Experience creating dashboards, datasets, visualizations, or self-service tools that help business users understand performance, trends, and drivers.
• Curiosity about AI and emerging technologies, and an interest in applying them to real business problems in a practical and responsible way.
• Familiarity with data visualization tools such as Power BI, or similar platforms.
• Ability to manage multiple priorities in a fast-paced, evolving environment.

Preferred Qualifications

• Experience working with reserving, actuarial, finance, claims, underwriting, or performance reporting teams.
• Some knowledge of reserving processes, actuarial triangles, loss development, claims trends, or financial close reporting.
• Hands-on experience with Power BI and other visualization platforms.

Location

• New York, NY (Hybrid – minimum 3 days per week in the office)

Compensation

• Comprehensive benefits including medical, retirement, paid time off, wellness programmes, and tuition assistance.