ZipRecruiter

Log In

1

Insurance Data Processing Jobs in Brandon, FL (NOW HIRING)

Gerdau

DATA ANALYST

Tampa, FL · On-site

Develop and implement data models, algorithms, and AI solutions to optimize supply chain processes ... Comprehensive health, dental, and vision insurance. * Retirement savings plan with company match.

Contact Government Services, LLC

ALS Lab Manager

Tampa, FL · On-site

$102K - $139K/yr

You will serve as the lead manager responsible for the delivery of lab data processing services and ... Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance ...

Contact Government Services, LLC

Data Engineer

Tampa, FL · On-site

$112K - $152K/yr

... and processing. -Support continuous process automation for data ingest. -Achieve technical ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Contact Government Services, LLC

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

... and processing. -Support continuous process automation for data ingest. -Achieve technical ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Wipro Limited

Data Architect

Tampa, FL · On-site

$80K - $158K/yr

... process flows, data mappings, and solution documentation. * Perform data profiling, gap analysis ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants ...

New

previous page

Showing results 41-60

All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Brandon, FL

Insurance Data Processing information

See Brandon, FL salary details

$10

$17

$30

How much do insurance data processing jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for insurance data processing in Brandon, FL is $17.61, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $19.42 per hour, depending on experience, location, and employer.

What is insurance data processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an insurance data processing specialist?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an insurance data processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in Brandon, FL?

For Insurance Data Processing jobs in Brandon, FL, the most frequently searched job titles are:

What job categories do people searching Insurance Data Processing jobs in Brandon, FL look for?

The top searched job categories for Insurance Data Processing jobs in Brandon, FL are:

What cities near Brandon, FL are hiring for Insurance Data Processing jobs?

Cities near Brandon, FL with the most Insurance Data Processing job openings:

Insurance Data Processing jobs near you

DATA ANALYST

Tampa, FL • On-site

Gerdau
Mining of Natural Resources • 5 - 10K employees
Learn more about Gerdauexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago

Gerdau rating

6.8

Company rating: 6.8 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

Job description

At Gerdau, we empower our people to grow, thrive, and make a difference-together. With a culture built on trust and teamwork, we offer meaningful work, continuous development, and opportunities to shape your future. We invite you to come work with us, where your contributions are valued, your voice is heard, and your career is forged with purpose
Location: Tampa, FL
Job Summary: We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business decisions and implement AI solutions across Sales and Operations Planning, Fulfillment, and Logistics.
Key Responsibilities:
  • Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that drive business decisions.
  • Develop and implement data models, algorithms, and AI solutions to optimize supply chain processes and improve operational efficiency.
  • Collaborate with cross-functional teams, including marketing, IT, and customer service, to ensure seamless data integration and alignment with business goals.
  • Create and maintain dashboards and reports for real-time visibility into key performance metrics and operational insights.
  • Conduct data-driven analysis to support strategic initiatives and identify opportunities for process improvements.
  • Work closely with stakeholders to understand business requirements and translate them into actionable data insights and AI solutions.
  • Stay up to date with the latest advancements in data science, AI, and supply chain management to continuously enhance our capabilities.

Qualifications:
  • Bachelor's or master's degree in data science, Computer Science, Statistics, Supply Chain Management, or a related field.
  • Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics environment.
  • Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI.
  • Experience with machine learning algorithms, AI frameworks, and statistical modeling techniques.
  • Excellent problem-solving skills and the ability to work with complex datasets to derive meaningful insights.
  • Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
  • Ability to manage multiple projects and prioritize tasks in a fast-paced environment.

Preferred Skills:
  • Experience with supply chain management systems and ERP software.
  • Knowledge of advanced analytics techniques and predictive modeling.
  • Familiarity with cloud-based data platforms and big data technologies.

Benefits:
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Professional development opportunities and continuous learning.
  • Collaborative and inclusive work environment.

Gerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship.
If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com

What Gerdau employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply