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Insurance Data Analytics Jobs (NOW HIRING)

World Insurance Associates LLC

Data Migration Analyst

$75K - $85K/yr

Company Overview World Insurance Associates ("World") is a unique financial services organization ... Position Overview We are seeking a Data Migration Analyst to support the successful migration of ...

E-Solutions

Reporting Data Analyst

Morristown, NJ · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Lenexa, KS · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Alpharetta, GA · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Charlotte, NC · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Garden City, NY · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Mount Juliet, TN · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Chicago, IL · On-site

ROLE SUMMARY The Reporting Data Analyst partners with business groups across the Property & Casualty (P&C) insurance domain to define and deliver reporting and data extracts requirements. This role ...

FEDRUS GLOBAL LLC

Reporting Data Analyst

Alpharetta, GA · On-site

... Analytics Cloud) Working knowledge of insurance source systems (Guidewire, Genius, SAP) Strong SQL skills and experience with enterprise data warehouses Understanding of dimensional modeling and ...

TecTammina

Data Analyst

Chattanooga, TN · On-site

... analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL ... Experience in insurance data models Qualifications Excellent written and verbal communication ...

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 ...

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How much do insurance data analytics jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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.

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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.

More about Insurance Data Analytics jobs
What cities are hiring for Insurance Data Analytics jobs? Cities with the most Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
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Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
P&C Insurance Lead or Data Analytics Engagement Manager( P&C) - US - Remote

P&C Insurance Lead or Data Analytics Engagement Manager( P&C) - US - Remote

Lorven Technologies

Remote

Full-time

Re-posted 15 days ago

Job description

Role: P&C Insurance Lead or Data Analytics Engagement Manager( P&C)
Location: US - Remote
Fulltime Role
Job description:
  • Client Relationship Management: Serve as the primary point of contact for key P&C insurance clients, managing expectations, understanding their business needs, and ensuring high satisfaction with analytics and AI-driven solutions.
  • Strategic Leadership: Lead and support strategic initiatives and roadmap development for analytics, AI, and digital transformation projects. Collaborate with senior leadership and clients to define project objectives and deliverables.
  • Data & Analytics Strategy: Oversee the application of advanced data analytics and AI solutions to solve complex challenges within the insurance space. Guide teams in developing data-driven insights that inform decision-making for clients.
  • Project Delivery & Execution: Ensure the successful and timely delivery of analytics projects, including P&C insurance data models, AI algorithms, dashboards, and reporting tools. Ensure all projects are aligned with client goals and industry standards.
  • Stakeholder Engagement: Act as a trusted advisor to clients, managing communication and expectations while keeping internal stakeholders updated on project progress, challenges, and successes.
  • Client Growth & Business Development: Work closely with the sales and business development teams to identify new opportunities for expanding services to existing clients. Play a key role in proposals, RFP responses, and new business initiatives.
  • Domain Expertise in Insurance Analytics: Leverage your expertise in P&C insurance to identify client pain points, emerging trends, and analytics solutions that drive operational efficiency and competitive advantage.
  • Technical Expertise: Utilize advanced analytics tools and techniques, including SQL, Power BI, SAS, and Generative AI, to extract insights and build data solutions. Guide teams in data processing, modeling, and visualization best practices.
  • Solution Design & Innovation: Develop and implement innovative analytics solutions to enhance underwriting, claims, and pricing strategies. Work closely with cross-functional teams to incorporate analytics into business processes and decision-making.
  • Performance Reporting & Insights: Design and deliver performance dashboards, reports, and presentations that translate complex data into actionable insights, facilitating data-driven decision-making for clients.
  • Oversee organizational digital analytics. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.

Candidate Profile:
  • Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. An advanced degree is preferred.
  • Experience: 10 - 15 years of experience in data analytics, with a strong focus on insurance analytics. Expertise in the Property & Casualty (P&C) domain is strongly preferred.
  • Technical Skills:
  • Proficiency in SQL, Power BI, and SAS.
  • Experience with Generative AI and other advanced data analytics tools.
  • Strong skills in data modeling, visualization, and data-driven decision-making.
  • Leadership Skills: Proven experience in managing and developing high-performance teams.
  • Analytical Thinking & Problem Solving: Ability to think strategically, analyze complex data, and provide innovative solutions to meet client objectives.
  • Preferred Skills: Exposure to other analytical tools and languages (Python, R) is a plus.
  • Familiarity with machine learning and AI algorithms relevant to the insurance domain.
  • Experience in consulting or with a professional services firm is an advantage.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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