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Insurance Data Analytics Jobs in Florida (NOW HIRING)

MyFlorida

DATA ANALYTICS SUPERVISOR - 36000180

Tallahassee, FL · On-site

$87K - $92K/yr

  • Medical

  • Dental

  • Life

  • Retirement

DATA ANALYTICS SUPERVISOR - 36000180 Pay Plan: Lottery Exempt Serv Position Number: 36000180 Salary ... Approximately 97.5% of the premium for health insurance * Individual (~$8/month) or Family (~$30 ...

NCCI

Lead Data Analyst - Medical Data

Boca Raton, FL · On-site

$75K - $85K/yr

DATA RESOURCES PAY TYPE: SALARY JOB OVERVIEW: NCCI is the nation's trusted source for workers ... analytics, and insights. Every day, our work helps insurers, regulators, employers, and ...

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How much do insurance data analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for insurance data analytics in Florida is $40.91, according to ZipRecruiter salary data. Most workers in this role earn between $32.88 and $46.35 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 Florida?

The most popular types of Insurance Data Analytics jobs in Florida are:

What are popular job titles related to Insurance Data Analytics jobs in Florida?

For Insurance Data Analytics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Florida look for?

The top searched job categories for Insurance Data Analytics jobs in Florida are:

What cities in Florida are hiring for Insurance Data Analytics jobs?

Cities in Florida with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $85,097 per year, or $40.9 per hour.

SQL Database Developer/ Business Intelligence Analyst (Healthcare Data)

Valora Medical Group

Orlando, FL

Full-time

Re-posted 12 days ago

Job description

We’re different than most primary care providers. We’re rapidly expanding, and we need great people to join our team!

Valora Medical Group is a visionary company focused on high-quality primary care services and healthcare providers and professionals dedicated to the health and well-being of our patients. At Valora, we treat our patients like family.

We are seeking a Microsoft SQL Database Developer and Business Intelligence Analyst with strong experience in healthcare, Medicare, or health insurance data. This role will design and manage our SQL data environment, build ETL pipelines, develop complex queries, and serve as the data steward responsible for integrating and maintaining multiple healthcare data sources including claims, membership, and operational data.

This position requires working on-site at our Conway, Florida office.

Key Responsibilities

Database Development

Design and maintain SQL Server tables, indexes, views, and stored procedures. Write and optimize complex T-SQL queries. Ensure database performance and scalability.

ETL amp; Data Integration

Develop ETL pipelines using Microsoft tools such as SSIS. Integrate multiple data sources. Automate data ingestion, transformation, and validation workflows.

Healthcare Data Analytics

Analyze Medicare and health insurance data including claims, membership, provider, and utilization data. Support operational and financial analytics.

Business Intelligence

Develop datasets for BI dashboards and reporting. Collaborate with leadership to deliver insights and KPIs.

Data Stewardship

Ensure data quality, governance, and consistency. Maintain documentation and data integrity across systems.

Required Qualifications

Strong experience with Microsoft SQL Server. Advanced T-SQL skills. Experience with ETL processes. Strong understanding of data modeling and relational databases. Experience with healthcare or insurance data.

Preferred Qualifications

Experience with Medicare Advantage data, claims datasets, Power BI, and healthcare analytics including risk adjustment.

EEO Statement: Valora Medical Group, LLC is an equal opportunity employer that does not discriminate on the basis of race, color, religion, creed, sex, national origin, age, disability, pregnancy status, sexual orientation, gender identity, veteran status, marital status, genetic information, citizenship status, or any other status protected by law. In compliance with the Immigration Reform and Control Act of 1986, we will hire only U.S. citizens and aliens lawfully authorized to work in the United States.

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