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Insurance Data Processing Jobs in Rochester, NY (NOW HIRING)

Mvphealthcare

Professional, Data Engineer

Rochester, NY

$113K - $135.70K/yr

The Data Engineer plays a critical role in ensuring the quality, reliability, and security of data ... Continually improves ongoing team processes, automating where needed, and providing self-service ...

AllJobs

Work at Home Data Entry Specialist

Rochester, NY · Hybrid

$16 - $21/hr

... process their payroll. * Updates any needed client or company level information changes such as ... Inputs State Unemployment Insurance rate changes to ensure integrity of client taxes. Job ...

L3HHCM20

Senior Specialist, Electrical Engineer

Rochester, NY · On-site

$110.50K - $205.50K/yr

... data processing, exploitation and dissemination. We also provide solutions that map and monitor the ... L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match ...

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Insurance Data Processing information

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$12

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$34

How much do insurance data processing jobs pay per hour?

As of May 30, 2026, the average hourly pay for insurance data processing in Rochester, NY is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

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 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 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 job categories do people searching Insurance Data Processing jobs in Rochester, NY look for? The top searched job categories for Insurance Data Processing jobs in Rochester, NY are:
Insurance Data Processing jobs near you

Customer Service Insurance Specialist

One Path Career Partners

Penfield, NY

Other

Posted yesterday

Job description

Job Description
We are hiring for a skilled Customer Service Insurance Specialist! In these full-time opportunities, you will perform data processing tasks using a basic Microsoft Excel program. Medical insurance data entry experience is preferred, but not required. To be considered for this position, you must have an Associates Degree or higher and 2 years of customer service relevant to health insurance. We are looking for a candidate with good data entry experience, multitasking abilities and the ability to operate in a fast paced environment. Need a focused attention to detail and be self-motivated.
Position Details:
  • Full time, contract (Part-time positions available)
  • M-F schedule - days
  • Utilizes various insurances tools and forms to determine accuracy in insurance rates class codes experience modifications
  • Ensures timely and accurate problem resolution in support of Agency client retention goals
  • Processes customer data information
  • Maintains and updates all customer data information in all systems
Job Requirements
  • Associates Degree plus 2 years of health insurance related customer service experience
  • Bachelors Degree - new grads welcome
  • 1 year of Microsoft Excel experience
  • Data entry skills required
  • Focused attention to detail
  • Good communication skills
  • Self-Motivated
  • US citizen or permanent resident status
  • Successful completion of a background check

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