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Insurance Data Analytics Jobs in New Jersey (NOW HIRING)

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Selective Insurance

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

GNY Insurance Companies

Data Engineer 2 - Guidewire

Edison, NJ · On-site

$116K - $139K/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 ...

Jobtailor

Data Engineer 2 - Guidewire

Edison, NJ · On-site

$120 - $150/hr

Collaborate with cross-functional teams, including analysts and business users, to deliver end-to-end insurance data solutions. * Implement data governance, security, and compliance standards across ...

New

PamTen Inc

Lead - Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Required : • 12+ years of experience in data engineering, data analytics, or related fields. • Strong knowledge of P&C Insurance processes (Claims, Policy Administration, Billing, Underwriting ...

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Insurance Data Analytics information

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$55

$95

How much do insurance data analytics jobs pay per hour?

As of Aug 20, 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 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 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.

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.

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.

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 83% Full Time, 9% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $115,608 per year, or $55.6 per hour.

Insurance Data Analyst (Solutions and Sales support)

TekWissen

Jersey City, NJ • On-site

Full-time

Re-posted 15 days ago

Job description

Company Description
Job Description
Position: Insurance Data Analyst (Solutions and Sales support)
Location: New Jersey
Duration: Full Time
Job description:
Primary Skill (Must have) : Insurance Data Modernization SQL
Secondary Skill (Nice to have) : ETL Architect SOA Architect
• Data Analyst required to support build Insurance Data management offerings, collateral and solutions
• Involvement in projects on customization and implementation of built solutions is expected
• 8 to 12 years' experience in Insurance Data modernization or data quality improvement projects
• At least 2 to 3 projects onsite in migration, business intelligence projects with role as data analyst or business analyst
• Expertise in insurance domain - P&C Life and Annuities)
• Good understanding of insurance data model
• Well versed with technologies for Cleansing, mastering and improvement of data at enterprise level
• Knowledgeable about recent technology trends on digital insurance, big data etc.
• Ability to articulate and present ideas is important for this role.
Thanks & regards
BHASKAR
734-418-7955
Qualifications
Additional Information
Thanks & Regards
Bhaskar
Email: Bhaskar.k(AT)tekwissen.com
734-418-7955
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About TekWissen

Sourced by ZipRecruiter

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2009

Social media

Twitter

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