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

Data Scientist

Miami, FL

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Key Responsibilities * Write production-level code for robust analytics products, ensuring ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Showing results 21-40

Insurance Data Analyst information

See Miami, FL salary details

$32.5K

$79K

$130.1K

How much do insurance data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for insurance data analyst in Miami, FL is $79,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 per year, depending on experience, location, and employer.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $85,000 per year, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced analysts with advanced skills in data visualization and statistical tools can earn higher salaries.

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.

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 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 popular job titles related to Insurance Data Analyst jobs in Miami, FL? For Insurance Data Analyst jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analyst jobs in Miami, FL look for? The top searched job categories for Insurance Data Analyst jobs in Miami, FL are:
What cities near Miami, FL are hiring for Insurance Data Analyst jobs? Cities near Miami, FL with the most Insurance Data Analyst job openings:
Infographic showing various Insurance Data Analyst job openings in Miami, FL as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $79,045 per year, or $38 per hour.

$65K - $85K/yr

Full-time

Medical, Retirement

Re-posted 22 days ago


Insurance Office Of America rating

8.8

Company rating: 8.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

57th of 304 rated insurance


Job description

Description

Job Description:

Title: Financial Analyst 

Work Mode: Fully Remote | Supporting: Longwood, FL office | Experience: Bachelor's degree. Must have 2+ years of financial related experience. Strong in MS Excel. 
 
Please note: If this position is posted as either fully remote and/or hybrid, in accordance with company policy, individuals residing within a 50-mile radius of a branch location may be required to work onsite in a hybrid capacity as there may be occasions when on-site presence is necessary to meet specific business needs. Additionally, our remote work policy includes having a dedicated, distraction-free workspace. Remote work is not a substitute for childcare, elder care, or other personal responsibilities during working hours. To view our branch locations, please visit: ioausa.com/locations 
 

About the Role: Responsible for analyzing and reporting on producer-level financial and operational performance, including revenue, production credit, and business activity metrics. This role supports data-driven decision-making by developing reporting tools, dashboards, and analytics that provide visibility into key performance indicators. The Financial Analyst partners with internal stakeholders to deliver accurate insights, improve reporting capabilities, and support strategic initiatives related to producer performance and equity programs. 
 

Key Responsibilities: 

  • Producer Performance Reporting: Track and report on monthly producer metrics, including gross revenue, new business, and lost business activity. 

  • Equity Program Tracking: Monitor producer performance related to equity programs, ensuring accurate production credit and proper handling of deviations. 

  • Earn-Out Reporting: Track and analyze individual producer performance related to earn-out structures and payout triggers. 

  • Ramp Performance Analysis: Monitor and report on performance of ramping producers, identifying trends and variances against expectations. 

  • KPI & Metrics Reporting: Develop and deliver organizational KPIs and performance metrics related to producer activity and outcomes. 

  • Dashboard Development: Partner with the Data Analytics team to design and maintain Power BI dashboards for real-time visibility into producer performance. 

  • Financial Analysis & Insights: Analyze data trends and provide actionable insights to support business planning and performance improvement initiatives. 

  • Forecasting Support: Assist with cash flow forecasting related to producer equity programs and compensation structures. 

  • Capital & Program Analysis: Support analysis of cap table implications and financial impacts associated with producer equity programs. 

  • Professional Development: Continuously improve professional skills by participating in internal/external development opportunities. 

  • Champion IOA Values: Demonstrate integrity and leadership. 

Ideal Candidate Qualifications: 

  • Bachelor’s degree in Finance, Business Administration, or a related analytical field preferred 

  • 2+ years of financial analysis or data analytics experience 

  • Advanced proficiency in Microsoft Excel 

  • Experience with reporting and analytics platforms (Power BI preferred) 

  • Strong analytical, research, and problem-solving skills 

  • Excellent organizational and prioritization skills with ability to manage multiple priorities 

  • Outstanding verbal and written communication skills 

  • Ability to work independently with high accuracy and attention to detail 

 
What We Offer: 

  • Competitive salaries and bonus potential 

  • Company-paid health insurance 

  • Paid holidays, vacations, and sick time 

  • 401K with employer match 

  • Professional growth and career progression opportunities 

  • Respectful culture and work/family life balance 

  • Community service commitment 

  • Supportive teammates and a rewarding work environment 

 
What to Expect (Application Process): 

  • 30-Minute Phone Screen, Online Assessments, and Interview(s) 

Salary Range

The expected pay range for this position is $65,000 to $85,000 per year, depending on experience, relevant skills, and geographic location.

Insurance Office of America is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Summary

The Financial Analyst will be responsible for reporting on producer-level activities, including but not limited to gross revenue, production credit, new and lost business, and developing Power BI reporting to accurately track and effectively present the above metrics.·         Track and report on monthly producer gross revenue, new business, and lost business.·         Reporting and tracking of producer performance as it relates to the various producer equity programs ensuring proper production credit for any deviations from standard process.·         Report and track individual producer performance as it relates to the earn out.·         Track and report on monthly performance of ramping producers.·         Track and report on organizational KPI and metrics related to producer performance.·         Liaison with Data Analytics team to develop and maintain end-user dashboards within Power BI to provide on-demand viewing of producer metrics.·         Assist with cash flow forecasting as it relates to the various producer equity programs.·         Assist with cap table implications related to the producer equity programs.

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