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Insurance Data Analyst Jobs in Florida (NOW HIRING)

Ci

Data Operations Analyst

Miami, FL · On-site

Qualifications * 2-3+ years of experience in data science or analytics roles. * Background in ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

Transunion

Senior Data Operations Analyst

Boca Raton, FL

$81K - $103K/yr

The Senior Data Operations Analyst role is a wonderful opportunity to work in a fast-paced work ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

TransUnion

Senior Data Operations Analyst

Boca Raton, FL

$81K - $103K/yr

The Senior Data Operations Analyst role is a wonderful opportunity to work in a fast-paced work ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

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All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Florida

Insurance Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do insurance data analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for insurance data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 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.
What are popular job titles related to Insurance Data Analyst jobs in Florida? For Insurance Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analyst jobs in Florida look for? The top searched job categories for Insurance Data Analyst jobs in Florida are:
What cities in Florida are hiring for Insurance Data Analyst jobs? Cities in Florida with the most Insurance Data Analyst job openings:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, and 16% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.
Data Reporting Analyst (HealthTech)

Data Reporting Analyst (HealthTech)

AssistRx

Orlando, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

AssistRx rating

7.9

Company rating: 7.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

66th of 204 rated it services

Job description

At AssistRx, we combine technology and talent to accelerate patient access to therapy. Our advanced hub solutions simplify the patient journey, connect prescribers, pharmacies, and manufacturers, and empower providers to make faster, data-driven decisions.
Every day, our team uses data to bridge the gap between patients and the treatments they need. Join us, and be part of a company that transforms data into meaningful outcomes - ensuring that patients get on therapy, stay on therapy, and achieve better health.
As a Data Insight Analyst, you'll play a key role in transforming complex data into actionable insights that drive smarter decisions across our organization and client base. You'll not only acquire, manage, and analyze data - you'll also help shape how our internal teams, clients, and partners understand and act on it.
In this role, you'll lead electronic data partner onboarding, ensure smooth implementations, and act as the go-to expert for all things data quality. You'll collaborate across departments to ensure data accuracy, accessibility, and strategic value - empowering stakeholders with the information they need to make a measurable impact.
What You'll Do
  • Transform Data into Insight: Develop reports, dashboards, and analytics using SQL, Tableau, Excel, and Salesforce data to reveal trends, relationships, and actionable business intelligence.
  • Deliver Data Storytelling: Go beyond numbers by using visualizations and narrative context to explain findings and guide decisions.
  • Ensure Data Excellence: Review and QA all data outputs to ensure accuracy, consistency, and reliability before sharing with internal or external stakeholders.
  • Be a Partner to Clients: Communicate directly with customers to understand their data needs, resolve quality issues, and meet key deadlines.
  • Lead Implementations: Manage the onboarding and configuration of electronic data trading partners, ensuring a seamless setup and successful integration.
  • Maintain Data Quality: Research, identify, and resolve data inconsistencies or anomalies; provide clear documentation and process improvements.
  • Educate and Empower: Lead web-based training sessions with clients and partners on data specifications, helping them understand requirements and best practices.
  • Be the Expert: Stay up to date on evolving data specifications and act as a trusted resource for both internal teams and clients.

Requirements
Education & Experience
  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, or related field (Master's preferred).
  • 3+ years of experience in a data analyst, data quality, or business intelligence role.
  • Experience in healthcare, pharmacy, or health-tech data environments highly preferred.
  • Proven experience building dashboards and analytics in Tableau and Salesforce.
  • Strong SQL and Excel skills required (advanced functions, queries, lookups, and automation techniques).
  • Familiarity with ETL processes, data mapping, or partner onboarding preferred.

Technical Skills
  • Expertise in querying and manipulating large data sets using SQL and other BI tools.
  • Proficiency in data visualization platforms such as Tableau (or comparable tools like Power BI).
  • Understanding of data warehouses, data modeling, and data quality frameworks.
  • Working knowledge of Salesforce reporting and data integrations a plus.
  • Ability to translate business questions into data-driven analyses.

Professional Attributes
  • Self-starter who takes initiative and ownership of projects.
  • Exceptional attention to detail and accuracy under tight deadlines.
  • Strong written and verbal communication skills - especially in translating data into clear insights.
  • Client-facing professionalism with the ability to manage multiple stakeholder priorities.
  • Thrives in an entrepreneurial, fast-paced, and evolving environment.
  • Must be extremely responsive, adaptable, and results-oriented with a strong sense of urgency.

Benefits
  • Supportive, progressive, fast-paced environment
  • Competitive pay structure
  • Matching 401(k) with immediate vesting
  • Medical, dental, vision, life, & short-term disability insurance

AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws.
All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position.
AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire

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