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Insurance Data Processing Jobs in Georgia (NOW HIRING)

IntelliGenesis LLC

Data Scientist Level 2

Blythe, GA · On-site

$43K - $95K/yr

Data Processing: (Data management and curation, data description and visualization, workflow, and ... These monetary benefits include medical insurance, life insurance, disability, paid time off ...

Primerica, Inc.

Sr Data Engineer

Duluth, GA · On-site

$130K - $135K/yr

Design and implement ETL processes and data architecture to support the correct functioning of the ... Day one health, dental, and vision insurance * 401(k) Plan with competitive employer match

Oscar Health

Associate, Process Optimization

Atlanta, GA · On-site

$87K - $114K/yr

Hi, we're Oscar. We're hiring an Associate, Process Optimization to join our Eligibility and ... insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

Guidehouse

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Document technical processes, data flows, and system configurations. * Continuously develop ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Oscar Health

Associate, Process Optimization

Atlanta, GA · Remote

$87K - $114K/yr

Hi, we're Oscar. We're hiring an Associate, Process Optimization to join our Eligibility and ... insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71K - $90K/yr

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... insurance, and long-term disability insurance to eligible employees. You may also have the ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · Hybrid

$71K - $90K/yr

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... insurance, and long-term disability insurance to eligible employees. You may also have the ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71K - $90K/yr

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... insurance, and long-term disability insurance to eligible employees. You may also have the ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71.07 - $88.84/hr

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... insurance, and long-term disability insurance to eligible employees. You may also have the ...

QGenda

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Implement advanced data processing solutions and observability techniques to ensure data is ... Fully company-paid options for medical (both in-person and virtual), dental and vision insurance

Oscar Health

Associate, Process Improvement

Atlanta, GA · Remote

$87K - $114K/yr

We're hiring a Process Improvement Associate to join our Network Operations team. Oscar is the ... insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

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Insurance Data Processing information

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 Georgia?

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

What job categories do people searching Insurance Data Processing jobs in Georgia look for?

The top searched job categories for Insurance Data Processing jobs in Georgia are:

What cities in Georgia are hiring for Insurance Data Processing jobs?

Cities in Georgia with the most Insurance Data Processing job openings:

Insurance Data Processing jobs near you
Infographic showing various Insurance Data Processing job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Scientist Level 2

IntelliGenesis LLC

Blythe, GA • On-site

$43K - $95K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Job description

Job Duties
  • Employ some combination (2 or more) of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge
  • Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data
  • Effectively communicate complex technical information to non-technical audiences
  • Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations

Required Skills:
  • US Citizens Only
  • Active TS/SCI Clearance and Polygraph required
  • Information Assurance Certification may be required
  • Minimum of three (3) years of relevant experience and a Bachelor's degree or five (5) years of relevant experience and an Associate's degree required.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Relevant experience must be two of more of the following:
    • Designing/implementing machine learning
    • Data science
    • Advanced analytical algorithms
    • Programming (skill in at least one high-level language (e.g., Python))
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data mining
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering

Compensation Range: $43,000 - $95,000
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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