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

Contact Government Services, LLC

Data Engineer

Miami, FL

$109K - $131K/yr

... Analytics and Business Intelligence platform focused on providing solutions that empower our ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Contact Government Services, LLC

Data Engineer

Miami, FL

$112K - $152K/yr

... Analytics and Business Intelligence platform focused on providing solutions that empower our ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

ADP

Senior Lead Analytics Product Manager

Miami, FL · On-site

Are you passionate about leveraging data and analytics to solve complex business problems and ... Risk, Insurance, or HCM industry experience * B2B experience YOU'LL LOVE WORKING HERE BECAUSE YOU ...

subway

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

subway

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

subway

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

subway

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

subway

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

subway

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

subway

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

subway

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

subway

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

subway

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

subway

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

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Showing results 21-40

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Miami, FL

Insurance Data Analytics information

See Miami, FL salary details

$23

$52

$90

How much do insurance data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for insurance data analytics in Miami, FL is $52.36, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $59.33 per hour, depending on experience, location, and employer.

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.

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?

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 most commonly searched types of Insurance Data Analytics jobs in Miami, FL? The most popular types of Insurance Data Analytics jobs in Miami, FL are:
What are popular job titles related to Insurance Data Analytics jobs in Miami, FL? For Insurance Data Analytics jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Miami, FL look for? The top searched job categories for Insurance Data Analytics jobs in Miami, FL are:
What cities near Miami, FL are hiring for Insurance Data Analytics jobs? Cities near Miami, FL with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $108,913 per year, or $52.4 per hour.

Financial Analyst

Insurance Office of America

Hollywood, FL

$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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