Hybrid Data Analyst: Actuarial Analytics & Dashboards

Independence Pet Group; New York (NY); Hybrid; USD 85,000 - 110,000; Full time

Benefits offered by this job

Healthcare

Parental leave

Commuter Benefits

Pet friendly office environment

On the job training

Job summary

Independence American Insurance Company (IAIC) is seeking a Data Analyst to support Earnix rate build-outs and perform statistical analysis on structured and unstructured data. You will develop metrics, reports, and visualizations, and collaborate with stakeholders to define requirements and deliver insights across NY or Scottsdale hybrid work locations.

The role focuses on end-to-end rate deployment, validation, governance, and ongoing production support, with a strong emphasis on data quality

Qualifications

• Bachelor’s degree or equivalent; 3 years’ relevant analytics experience.
• Proficiency in SQL for data extraction, transformation and validation.
• Experience building dashboards and reports using BI tools.

Responsibilities

• Own rate deployment and online execution within Earnix across environments.
• Perform pre-deployment validation and maintain audit traceability.
• Coordinate deployments and work with IT and policy teams during rate releases.
• Provide ongoing production support and monitor post-deployment performance.
• Analyze data, define requirements, and develop dashboards and reports.

Skills

SQL

Data analysis

Dashboarding

Statistical modeling

Stakeholder communication

Education

Bachelor’s Degree or equivalent

3 years’ relevant experience

Tools

Earnix

BI tools

Job description

Independence American Insurance Company (IAIC) is seeking a Data Analyst to support Earnix rate build-outs and perform statistical analysis on structured and unstructured data. You will develop metrics, reports, and visualizations, and collaborate with stakeholders to define requirements and deliver insights across NY or Scottsdale hybrid work locations.

The role focuses on end-to-end rate deployment, validation, governance, and ongoing production support, with a strong emphasis on data quality