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Insurance Data Analytics Jobs in Florida (NOW HIRING)

Data Analyst

Miami, FL ยท On-site

Develop and implement data stores, data collection systems, data analytics, and other strategies ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off * Short Term & Long Term Disability

Data Analyst

Miami, FL ยท On-site

Ad-hoc analytics and insights . Promptly address ad-hoc analysis requests with clear, well ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

Data Analysts

Tampa, FL ยท On-site +1

Required Qualifications Experience: 2-4+ years of experience in a data analytics or business ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Bachelor's Degree in a business, mathematics, data analytics or a related field * 3+ years of ... Review standard regulatory and industry bulletins to identify changes in state and insurance ...

Senior Data Analyst

Jacksonville, FL

$77K - $97K/yr

Experience * 3-7 years of experience in data analytics, business analysis, or a related discipline, preferably in financial services or insurance. * Demonstrated experience working with structured ...

Senior Data Analyst

Jacksonville, FL ยท On-site

$77K - $97K/yr

Experience * 3-7 years of experience in data analytics, business analysis, or a related discipline, preferably in financial services or insurance. * Demonstrated experience working with structured ...

Supports the production of incident data analytics (including root cause analysis) to identify ... Additional programs include company paid term life insurance and disability coverage * Financial ...

Data Analyst - HRIS

Orlando, FL ยท On-site

$36.04 - $45.05/hr

Bachelor's degree in Data Science/Analytics, Statistics, Applied Math, Computer Science, Business ... Low-cost medical, dental, and vision benefits and paid life insurance premiums with no probationary ...

Data Analyst - HRIS

Orlando, FL ยท On-site

$36.04 - $45.05/hr

Bachelor's degree in Data Science/Analytics, Statistics, Applied Math, Computer Science, Business ... Low-cost medical, dental, and vision benefits and paid life insurance premiums with no probationary ...

Supports the production of incident data analytics (including root cause analysis) to identify ... Additional programs include company paid term life insurance and disability coverage * Financial ...

Supports the production of incident data analytics (including root cause analysis) to identify ... Additional programs include company paid term life insurance and disability coverage * Financial ...

Data Analyst

Tampa, FL ยท On-site

... pipelines, enabling analytics and AI use cases, and collaborating closely with data science and ... Domain Retail (catalog, order, pricing, search data) Banking & Financial Services Insurance ...

Data Analyst

Tampa, FL ยท On-site

The role involves designing, building, and optimizing scalable data pipelines, enabling analytics ... Insurance Education Requirements * Bachelor's/master's in computer science or equivalent (can be ...

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Insurance Data Analytics information

See Florida salary details

$18

$40

$70

How much do insurance data analytics jobs pay per hour?

As of Jun 16, 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 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?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

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.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

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.

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 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:
Infographic showing various Insurance Data Analytics job openings in Florida as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $85,097 per year, or $40.9 per hour.

Data Analyst

eMed LLC

Miami, FL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Data Analyst
Location: Miami, FL
Reports to: Director of Data
Department: Engineering
About eMed
eMed is a pioneering digital-health leader built on its Empathetic AIโ„ข Population Health Platform. Our primary mission is to provide large employers, state/federal governments, unions, and payers with unique healthcare solutions aimed at reducing obesity, improving employee health, and lowering company healthcare costs. Our integrated GLP-1 medication weight management program utilizes state-of-the-art at-home blood collection kits and connected clinical telehealth services to screen, onboard, and manage qualified candidates, ensuring medication adherence and effective management of side effects through continuous telehealth support.
About the Role
We are looking for a passionate certified Data Analyst with call center experience. The successful candidate will turn data into information, information into insight, and insight into business decisions. Data analysts will develop analysis and reporting capabilities. In addition, they will monitor performance and quality control plans to identify improvements.
Responsibilities
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement data stores, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing visualizations, reports, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements
  • Strong knowledge of and experience with reporting packages (Tableau, etc.), databases (SQL, etc.), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing, and presenting findings
  • BS in Mathematics, Economics, Computer Science, Information Management, Statistics or equivalent experience
  • Experience with event sourcing and event-driven architecture is a plus
  • Experience with AWS-hosted data lakes and data tools is a plus

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off
  • Short Term & Long Term Disability
  • Training & Development
  • Catered breakfast and lunch daily, snacks
  • Wellness Resources