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Insurance Data Analyst Jobs in Orlando, FL (NOW HIRING)

Responsibilities: The Data Analyst is responsible for ensuring enterprise data is accurate ... Additional programs include company paid term life insurance and disability coverage Financial ...

Associate Data Analyst

Orlando, FL ยท On-site

$22 - $24/hr

Associate Data Analyst Campus / New Graduate Industry: Global Professional Services / Accounting ... insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term ...

Data Analyst III

Orlando, FL ยท On-site +1

$120K - $140K/yr

Master's preferred. โ€ข Eight (8) or more years of progressive data analytics, advanced data ... Eligible Benefits: Medical, Dental, Vision, Life & AD&D Insurance, Long-Term & Short-Term ...

Data Analyst III

Orlando, FL ยท Remote

$120K - $140K/yr

Master's preferred. ยท Eight (8) or more years of progressive data analytics, advanced data ... Eligible Benefits: Medical, Dental, Vision, Life & AD&D Insurance, Long-Term & Short-Term ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business ... Cross-Sell Data Analyst The cross-sell data analyst is responsible for identifying cross-sell ...

Customer Data Platform Analyst**Location:** Remote working EST hours**Length:** PERM/Direct hire ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

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Insurance Data Analyst information

See Orlando, FL salary details

$31.7K

$77.1K

$126.9K

How much do insurance data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for insurance data analyst in Orlando, FL is $77,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,500.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as an insurance data analyst?

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 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.

How much does an insurance data analyst for an insurance company make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with advanced skills or certifications can earn higher salaries. The role often requires proficiency in data analysis tools like SQL and Excel, and knowledge of insurance industry data.

What are popular job titles related to Insurance Data Analyst jobs in Orlando, FL?

For Insurance Data Analyst jobs in Orlando, FL, the most frequently searched job titles are:

What cities near Orlando, FL are hiring for Insurance Data Analyst jobs?

Cities near Orlando, FL with the most Insurance Data Analyst job openings:

Infographic showing various Insurance Data Analyst job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $77,092 per year, or $37.1 per hour.

DATA ANALYST

Universal Insurance Managers Inc

Orlando, FL โ€ข On-site

Full-time

Posted 10 days ago


Job description

General Description:

The Data Analyst position is responsible for working within the Information Technology group, participating in a team responsible for report generation and data analysis utilizing database management software/tools against various database platforms.  In this role you will assist & lead in the development of automated reports, analytical and management reports, and data definitions across multiple computing environments.  You will develop technical expertise in data mining and report development methodologies, techniques and tools to ensure deliverables meet the needs of both internal and external business customers. 

 

Essential Duties and Responsibilities:

Responsible for regularly scheduled reporting (daily, weekly, monthly) for internal and external purposes, as well as ad-hoc reports for internal departments utilizing various DB reporting tools, such as MSSQL, Crystal Reports Enterprise, Power BI, Access, Excel, etc. 

Develop processes for reports, create wiki documentation and provide training on said processes to satisfy reporting requests and/or to automate manual processes for efficiency and accuracy.

Create and implement solutions which may include database objects, custom report design (utilizing SSRS for example) and automation of reporting tasks (via a regularly scheduled MSSQL job calling multiple stored procedures for example).

Contribute to the development of project plans and may assign and monitor tasks.

Assist in the development and generation of new reports to be provided to senior management across functional departments.

Perform other duties as required.

Supplemental Information:

This job description has been prepared to indicate the general nature and level of the work that the employees perform within their classification.   This description is not and cannot be interpreted as an inventory of all the duties, tasks, responsibilities, and qualifications required for the employees assigned to this job.

Education and / or Experie