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Insurance Data Analytics Jobs in Brooklyn, NY (NOW HIRING)

GNY Insurance Companies

Data Engineer 2 - Guidewire

Edison, NJ · Remote

$116.10K - $139.40K/yr

Data Engineer with previous experience in the insurance domain, design, build, and maintain scalable data pipelines and models that power analytics and Generative AI initiatives. The Data Engineer ...

GNY Insurance Companies

Data Engineer 2 - Guidewire

Edison, NJ · Remote

$116.10K - $139.40K/yr

Data Engineer with previous experience in the insurance domain, design, build, and maintain scalable data pipelines and models that power analytics and Generative AI initiatives. The Data Engineer ...

Verisk Analytics

Data Developer - L2

Holmdel, NJ · On-site

Awareness of analytics and machine learning data needs (e.g., data consistency and freshness). Preferred Qualifications * Exposure to insurance or financial services data, especially life and annuity ...

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Verisk Analytics

Data Developer - L2

Jersey City, NJ · Hybrid

Awareness of analytics and machine learning data needs (e.g., data consistency and freshness). Preferred Qualifications * Exposure to insurance or financial services data, especially life and annuity ...

American Express

Mgr-Data Analytics

New York, NY · On-site

Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working ... Proficiency in SQL, Python, Adobe Analytics, data visualization tools such as Tableau or Power BI ...

Integral Ad Science

Director, Data Analytics

New York, NY · On-site

$161K - $276K/yr

The Director, Data Analytics is responsible for projecting the value of specific department ... insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer ...

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How much do insurance data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for insurance data analytics in Brooklyn, NY is $57.57, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $65.19 per hour, depending on experience, location, and employer.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.
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Insurance Data Analytics jobs near you

Data Architect - Data Fabric Management Lead

Inizio Partners

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Architect - Data Fabric Management Lead

New York, New York, United States

$ 160,000.00 - 160,000.00 (US Dollar)

About the Job Data Architect - Data Fabric Management Lead

Role & Responsibilities Overview:

  • Design end to end data architectures using Microsoft Fabric components (Data Factory, Lakehouse, Warehouse, Real Time Analytics, OneLake).
  • Define data models, integration patterns, and storage strategies for policy, claims, billing, actuarial, and customer data.
  • Develop architectural blueprints, reference architectures, and reusable frameworks aligned with enterprise standards.
  • Oversee ingestion pipelines using Fabric Data Factory, supporting batch, streaming, and API based integrations.
  • Implement Lakehouse based architectures for scalable analytics and machine learning workloads.
  • Ensure data pipelines are optimized for performance, cost, and reliability.
  • Partner with Data Governance teams to enforce data standards, lineage, metadata, and quality rules.
  • Implement governance capabilities within Fabric, including data catalogs, sensitivity labels, and access controls.
  • Support regulatory compliance for insurance data (e.g., NAIC, state regulations, privacy laws).
  • Collaborate with cloud engineering teams to optimize Fabric deployments within the Microsoft ecosystem (Azure AD, Purview, Power BI).
  • Ensure alignment with enterprise cloud strategy, security frameworks, and architectural guardrails.
  • Evaluate new Fabric features and recommend adoption strategies.
  • Work closely with business stakeholders to translate insurance data needs into scalable technical solutions.
  • Provide architectural guidance to data engineers, analysts, and BI developers.
  • Lead technical design reviews and ensure architectural consistency across projects.
  • Define best practices for Fabric performance tuning, storage optimization, and cost management.
  • Implement robust security models, including RBAC, data masking, and encryption.
  • Monitor platform health and proactively address architectural risks.

Candidate Profile:

  • 10+ years of experience in data architecture, data engineering, or analytics platform design.
  • Strong hands on experience with Microsoft Fabric and related Azure services.
  • Deep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing).
  • Expertise in data modeling (dimensional, canonical, semantic models).
  • Strong knowledge of data governance, metadata management, and data quality practices.
  • Proficiency with SQL, Python, and modern data engineering frameworks.
  • Excellent communication and stakeholder management skills.
  • Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
  • Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).
  • Certifications such as Azure Data Engineer, Azure Solutions Architect.
  • Prior experience in P&C or Life insurance data modernization programs.

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