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Associate In Insurance Data Analytics Jobs in Palm Bay, FL

OMNI Healthcare

Medical Assistant

Palm Bay, FL · On-site

$18 - $19/hr

Greet patients and gather contact information and insurance data * Answer phone calls, respond to ... Associate degree in a medical field (preferred) * Current Medical Assistant Certification AND/OR ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... Strong background in geospatial analysis * Demonstrated track record of successful analytical ...

OMNI Healthcare

Medical Assistant

Melbourne, FL · On-site

$18 - $22/hr

Greet patients and gather contact information and insurance data * Answer phone calls, respond to ... Associate degree in a medical field (preferred) * Current Medical Assistant certification AND/OR ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Palm Bay, FL

Associate In Insurance Data Analytics information

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$2.8K

$5.4K

$7.7K

How much do associate in insurance data analytics jobs pay per month?

As of Jul 15, 2026, the average monthly pay for associate in insurance data analytics in Palm Bay, FL is $5,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $4,875.00 and $5,733.33 per month, depending on experience, location, and employer.

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Palm Bay, FL? For Associate In Insurance Data Analytics jobs in Palm Bay, FL, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Palm Bay, FL look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Palm Bay, FL are:
Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Palm Bay, FL as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $64,488 per year, or $31 per hour.
Financial Analyst

Financial Analyst

Insurance Office of America

Melbourne, FL

$65K - $85K/yr

Full-time

Medical, Retirement

Posted 27 days ago

Insurance Office Of America rating

8.9

Company rating: 8.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

44th of 281 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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