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Insurance Data Processing Jobs in Manchester, CT

Travelers

Senior Data Engineer (AWS, Databricks)

Hartford, CT · On-site

$105K - $144K/yr

Travelers is a leading property casualty insurer with a commitment to innovation and collaboration ... Your role will also involve modernizing legacy workloads and optimizing data processes for better ...

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All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Manchester, CT

Insurance Data Processing information

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$12

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$35

How much do insurance data processing jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for insurance data processing in Manchester, CT is $20.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.60 per hour, depending on experience, location, and employer.

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 highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO), Chief Underwriting Officer, or Chief Risk Officer tend to be the highest paid positions, often earning six-figure salaries plus bonuses. These roles require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy, underwriting, and risk management functions.

What does a data analyst do in an insurance company?

A data analyst in an insurance company collects, processes, and analyzes large datasets to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, claims processing, and pricing strategies.

What is the highest paid job in insurance?

In insurance, executive roles such as Chief Underwriting Officer or Chief Risk Officer tend to be the highest paid, often earning six-figure salaries plus bonuses. These positions require extensive industry experience, leadership skills, and often advanced certifications like CPCU or ARM.

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 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 highest paying data entry job?

In the field of insurance data processing, senior or specialized roles such as data analysts or claims processors tend to have higher salaries, especially those with advanced skills in database management, data analysis tools, or certifications. These positions often require experience and technical proficiency, leading to higher compensation compared to entry-level data entry roles.

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

IT Business Data Analyst - Life & Annuity

Nassau Re

Hartford, CT • Remote

Full-time

Posted 22 days ago

Job description

Job Summary

We are seeking an IT Business Data Analyst to join our Enterprise Data Warehouse (EDW) team, focusing on data initiatives within our life insurance and annuity product lines. This role requires subject matter expertise in life insurance and annuity products to drive critical data initiatives, including complex data mapping and data quality assurance. This role is pivotal in bridging the gap between actuarial, product, and operations stakeholders, and our IT data engineering teams which ensures our enterprise data platforms accurately capture the details of these financial products.

Principal Duties and Responsibilities

  • Lead and execute comprehensive source-to-target data mapping exercises for data ingestion into the Enterprise Data Warehouse, ensuring accuracy and integrity of data fields relating to life and annuity products.
  • Apply in-depth knowledge of life insurance and annuity products to ensure data models accurately reflect financial details and regulatory needs.
  • Utilize and enforce ACORD data standards and models during data mapping and requirements gathering phases to ensure interoperability and consistency across systems.
  • Analyze, document, and communicate detailed business requirements for data initiatives (e.g., data lineage, data quality rules, reporting needs) by collaborating with stakeholders and leveraging domain knowledge
  • Work closely with IT developers, and architects to translate business strategies into clear system logic and ensure flawless delivery of solutions.
  • Perform data analysis by writing SQL queries to validate data sets and support the design of reports and data extracts for downstream systems.
  • Participate in project planning, provide estimates, and support testing cycles (UAT) to ensure deployed data solutions meet business requirements and quality standards.
  • Assess operational impacts of changes, identify opportunities for process improvement or automation, and design solutions to enhance operational efficiency and customer experience.
  • Oversee or participate in the testing process, including User Acceptance Testing (UAT), to ensure solutions meet business requirements and quality standards.
  • Take ownership of assigned data projects and initiatives, proactively identifying risks, driving solutions, and delivering results with minimal supervision.
  • Perform other duties as assigned.

Knowledge, Skills and Abilities

  • 5 years of experience as an IT Data Business Analyst, with proven experience in the life insurance and annuity industry.
  • Excellent verbal and written communication skills, with the ability to articulate complex product features and technical details to diverse stakeholders.
  • Utilize expertise in Database Management Systems (DBMS) to write and execute complex SQL queries for thorough data profiling, validation, testing, and ad-hoc analysis directly within source systems and the data warehouse environment.
  • Must be self-motivated, demonstrating accountability and a strong sense of complete ownership over their workstream and deliverables.
  • Strong understanding of financial terms, investment products, and the specific mechanics of life insurance and annuity policies, claims, and underwriting processes.
  • Excellent analytical, critical thinking, and problem-solving skills to evaluate complex business challenges and recommend solutions.
  • Proficiency in industry-standard software and tools, such as Jira, SQL IDE, MS Excel, MS Word, Visio, and business intelligence platforms.
  • Experience working within Agile or Waterfall software development life cycles (SDLC) and project management methodologies. 

Preferred Qualifications

  • Familiarity with Amazon Web Services (AWS) concepts and services (e.g., S3 for data storage, AWS Glue, Lambda and basic cloud architecture principles) is a significant advantage.

Compensation

Nassau maintains a holistic compensation philosophy focused on competitive base salaries, performance driven incentives, and unique professional development opportunities. The combination of compensation, benefits, and an entrepreneurial culture along with related experiences is key to recruiting and retaining talent.  Our compensation system is designed to reward performance, support development and job growth, and compensate individuals relative to their contribution to our organization. The base salary for this position falls within Nassau’s salary band D:  $90,000-$100,000 depending upon experience.

Visit our Careers page and apply online at http://www.nfg.com/.

Based in Hartford, Connecticut, Nassau Financial Group is a growth focused and digitally enabled financial services company with a fully integrated platform across insurance and asset management. Nassau was founded in 2015 and has grown to $1.6 billion in total adjusted capital, $24.4 billion in assets under management, and 350,000+ policies and contracts as of March 31, 2026.

As part of a young and growing financial services enterprise, our employees are tapping into a new entrepreneurial spirit while they build on a long track record of putting customers first, understanding the evolving income and protection needs, and developing quality products to meet those needs.

Nassau provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 

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