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Insurance Data Analyst Jobs (NOW HIRING)

Sr. Data Analyst

Manhattan, NY ยท On-site

$94K - $119K/yr

Clearbrook is seeking a Sr. Data Analyst to partner with stakeholders across P&C Operations to ... insurance data concepts and operational workflows is preferred. Company : We invest in businesses ...

Position Objective World Investment Advisors is seeking a data analyst with strong financial ... Perks & Benefits โ€ข 401(k) with Employer Match โ€ข Health Insurance (with HSA option) โ€ข Dental ...

Data Analyst

Chicago, IL ยท On-site +1

$95K - $110K/yr

Position Objective World Investment Advisors is seeking a data analyst with strong financial ... Perks & Benefits โ€ข 401(k) with Employer Match โ€ข Health Insurance (with HSA option) โ€ข Dental ...

Sr Data Analyst

New York, NY ยท On-site

$103K - $133K/yr

Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence. Summary: The Sr Data Analyst partners with stakeholders ...

Data Analyst

Nashua, NH ยท On-site

$54K - $83K/yr

The Data Analyst collaborates with cross-functional teams to improve data quality, reporting ... Dental Insurance * Vision Insurance * Group Life and AD&D Insurance * Short- and Long-Term ...

Enterprise Data Analyst

Columbia, MO ยท On-site

$69K - $86K/yr

It's your career, Shelter it! Enterprise Data Analyst $69,742 - $86,474 / year minimum starting pay ... Familiarity with insurance industry practices and metrics, such as underwriting, claims, and risk ...

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 ...

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 ...

The Data Analyst collaborates with cross-functional teams to improve data quality, reporting ... Dental Insurance * Vision Insurance * Group Life and AD&D Insurance * Short- and Long-Term ...

Data Analyst

Laurel, MD ยท On-site

Industry experience in government, healthcare, finance, or insurance is a plus. Responsibilities * Collect, analyze, and interpret data from multiple sources. * Develop and maintain dashboards ...

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Insurance Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do insurance data analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for insurance data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a data analyst do at an insurance company?

An insurance data analyst collects, analyzes, and interprets data related to policies, claims, and customer information to identify trends and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, pricing, and risk assessment processes.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require knowledge of insurance industry metrics to improve underwriting, claims processing, and customer insights.

What are the key skills and qualifications needed to thrive as an Insurance Data Analyst, and why are they important?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an Insurance Data Analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What does an Insurance Data Analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

Is AI replacing data analysts?

AI is transforming the role of insurance data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can handle large datasets efficiently, human expertise remains essential for interpreting results, ensuring data quality, and applying domain knowledge. The role continues to evolve with skills in data management, programming, and AI tools being increasingly valuable.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career shift.
More about Insurance Data Analyst jobs
What cities are hiring for Insurance Data Analyst jobs? Cities with the most Insurance Data Analyst job openings:
What states have the most Insurance Data Analyst jobs? States with the most job openings for Insurance Data Analyst jobs include:
Infographic showing various Insurance Data Analyst job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, and 98% Full Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Sr. Data Analyst

Sr. Data Analyst

Clearbrook

Manhattan, NY โ€ข On-site

$94K - $119K/yr

Full-time

Posted 6 days ago


Job description

Job Summary:
Clearbrook is seeking a Sr. Data Analyst to partner with stakeholders across P&C Operations to deliver advanced analytical insights that inform business strategy and operational decision-making. The role involves performing data analysis, developing methods for data management, and translating complex data into actionable insights to improve processes and outcomes.
Responsibilities:
โ€ข Partners with stakeholders to define business problems, translate data needs into analytical solutions, and ensure alignment between business objectives and data outputs.
โ€ข Develops and maintains methods to distribute management information, as appropriate, throughout P&C Operations using tools, standards, and platforms in use at the time with minimal guidance.
โ€ข Designs, develops, and maintains dashboards (Power BI), reports, and data products for use throughout P&C Operations using the tools, standards, and platforms in use at the time with minimal guidance.
โ€ข Develops and optimizes SQL queries, Python/PySpark scripts, and data pipelines to extract, transform, and validate data for analysis and reporting.
โ€ข Independently leads analytics initiatives, managing priorities, timelines, and deliverables from intake through deployment.
โ€ข Responds to support questions promptly, courteously, and accurately, with an analysis of the results and any issues or changes made with minimal guidance.
โ€ข Synthesizes analytical findings into clear insights and recommendations, tailoring communication for both technical and non-technical audiences.
โ€ข Ensure enterprise reporting and analytics adhere to defined data governance standards, business rules, and data quality expectations.
โ€ข Validates data accuracy and completeness across source systems and downstream reporting layers, identifying trends, anomalies, and data quality issues. Performs quality assurance checks to validate completeness and accuracy of data and/or deliverables for release with minimal guidance.
โ€ข Supports recurring operational data needs (e.g., monthโ€‘end, quarterโ€‘end, and ongoing production reporting cycles) by ensuring timely, accurate delivery of analytics and reports.
โ€ข Identifies trends, patterns, and opportunities within data to support process improvements and strategic initiatives.
โ€ข Document, update, and utilize the policies, procedures, and processes used throughout P&C Operations.
โ€ข Mentor junior analysts by reviewing policies, procedures, and processes and validating the queries/code, reports, and dashboards for accuracy and quality.
โ€ข Proactively identify opportunities with the appropriate stakeholders to remedy the errors timely with minimal guidance.
โ€ข Ensures that the data produced remains secure, respecting corporate privacy and security procedures.
โ€ข Assists with training for stakeholders in areas such as proper data usage, SQL, or Power BI.
โ€ข Collaborate with data engineering and platform teams to ensure alignment between analytics solutions and enterprise data platforms (e.g., cloud data warehouses, semantic models, and BI environments).
Qualifications:
Required:
โ€ข Four to six years of relevant work experience
โ€ข Bachelorโ€™s degree in mathematics, computer science, data science, data analytics, or a related field. Equivalent work experience in a business or technical environment will be considered in lieu of a bachelorโ€™s degree.
โ€ข Proficient in Python/PySpark, SQL (CTE, window functions) and Power BI using graphs, charts, and map features.
โ€ข Experience in data quality control/governance, data mining, and modeling
โ€ข Working knowledge of emerging analytics technology (e.g., Agentic AI/ML concepts)
โ€ข Strong soft skills with clear, effective oral and written communication.
Preferred:
โ€ข Experience in Microsoft Fabric, Snowflake Ecosystem, and Visual Studio Code
โ€ข Strong understanding of Property & Casualty insurance data concepts and operational workflows is preferred.
Company:
We invest in businesses that know their markets and help them scale through operational excellence, underwriting discipline and strategic growth. Founded in 2026, the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.