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Insurance Data Analytics Jobs in New Jersey (NOW HIRING)

Everest

Senior Analyst - Data Products

Warren, NJ · On-site

$88K - $112K/yr

... of insurance data and analytics products, working closely with business stakeholders and IT teams to translate needs into actionable data solutions. Responsibilities : • Partner with the Data ...

idexcel

NJ · On-site

... telecom, insurance, healthcare, manufacturing, banking & financial services, food & commodities ... Data integration from various data sources. Build web service API to support data analytics ...

World Insurance Associates LLC

Business Analyst

Iselin, NJ · On-site +1

$75K - $85K/yr

Position Overview We are seeking a Data Migration Analyst to support the successful migration of insurance data from legacy systems to the Applied EPIC platform. This role ensures data accuracy ...

Barclays

NJ · Hybrid

$185K/yr

... insurance, and other paid leave for qualifying circumstances. This position is eligible for an ... Engage in complex analysis of data from multiple sources of information, internal and external ...

World Insurance Associates LLC

Data Analyst

Iselin, NJ · On-site +1

$95K - $110K/yr

Identify new data sources that would be useful for data analytics. * Build and maintain custom ... Health Insurance (with HSA option) * Dental Insurance * Vision Insurance * Life Insurance

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Inizio Partners

Product Owner

Jersey City, NJ · On-site

Act as the SME on insurance data flows, sources, and P&C insurance processes. Required Qualifications: * 15-20 years of experience as a Product Owner or Business Analyst in data-focused roles.

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How much do insurance data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for insurance data analytics in New Jersey is $55.58, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $62.98 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in insurance data analytics?

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.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

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 most commonly searched types of Insurance Data Analytics jobs in New Jersey? The most popular types of Insurance Data Analytics jobs in New Jersey are:
What are popular job titles related to Insurance Data Analytics jobs in New Jersey? For Insurance Data Analytics jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in New Jersey look for? The top searched job categories for Insurance Data Analytics jobs in New Jersey are:
What cities in New Jersey are hiring for Insurance Data Analytics jobs? Cities in New Jersey with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in New Jersey as of August 2026, with employment types broken down into 82% Full Time, 8% Part Time, 1% Temporary, 8% Contract, and 1% Nights. Highlights an 95% In-person, 3% Hybrid, and 2% Remote job distribution, with an average salary of $115,608 per year, or $55.6 per hour.

Senior Analyst - Data Products

Everest

Warren, NJ • On-site

$88K - $112K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Everest is a global leader in risk management, focused on enabling businesses to thrive and economies to flourish. As a Senior Analyst – Data Products, you will support the design and delivery of insurance data and analytics products, working closely with business stakeholders and IT teams to translate needs into actionable data solutions.
Responsibilities:
• Partner with the Data Product Owner and business stakeholders to elicit, document, and prioritize data and analytics requirements.
• Translate business needs into clear user stories, data definitions, mappings, and acceptance criteria for data and technology requirements.
• Perform data analysis and validation using SQL to support requirements, issue investigation, and data quality assurance.
• Support the design and delivery of data pipelines, curated datasets, and data products for Insurance use cases (e.g., Underwriting, Claims, Finance).
• Collaborate with technology data teams to ensure successful delivery of data products, including participation in planning, testing, and release activities.
• Execute and support UAT, QA, and release management processes, ensuring solutions meet business and data quality expectations.
• Investigate and resolve data issues and discrepancies, partnering with business and IT teams and supporting production issue resolution.
• Drive continuous improvement in analytics tools, methodologies, and capabilities
• Contribute to data quality, governance, and documentation efforts, including data definitions, lineage, and metadata management.
Qualifications:
Required:
• Bachelor’s degree in Information Systems, Computer Science, Analytics, Business, or a related field.
• 5–8 years of experience in data analysis, business analysis, or data product delivery within an enterprise environment.
• Strong proficiency in SQL and data analysis, with experience validating and reconciling data across systems.
• Experience working with data platforms, data warehouses, or cloud environments (e.g., Snowflake, Azure, or similar).
• Hands‑on experience with requirements elicitation, user stories, and Agile delivery practices.
• Exposure to data governance and catalog tools (e.g., Collibra) and understanding of data quality and lineage concepts.
• Strong communication and problem‑solving skills, with ability to work across business and technical teams.
Preferred:
• Experience in the insurance industry, with understanding of data across domains such as Claims, Policy, Underwriting, or Finance
Company:
Everest Group, Ltd. Founded in 1973, the company is headquartered in Hamilton, BMU, with a team of 1001-5000 employees. The company is currently Late Stage.

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