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Insurance Data Processing Jobs in Connecticut (NOW HIRING)

Turner Corporation

Insurance Specialist HQ

Shelton, CT · On-site

$85K - $100K/yr

Analytical and adept at processing and breaking down data into actionable information * Self ... insurance-based risk management information systems * Limited travel Physical Demands: * While ...

Turner Construction

Insurance Specialist HQ

Shelton, CT · On-site

$85K - $100K/yr

Insurance and Claims Compensation: Salaried Exempt Location: Position can be performed from any US ... Analytical and adept at processing and breaking down data into actionable information * Self ...

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Develop and optimize Python- and SQL-based data processing workflows supporting multiple asset ... PPO health, dental, and vision insurance premiums fully covered for you and your dependents.

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Develop and optimize Python- and SQL-based data processing workflows supporting multiple asset ... PPO health, dental, and vision insurance premiums fully covered for you and your dependents. * Pre ...

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Develop and optimize Python- and SQL-based data processing workflows supporting multiple asset ... PPO health, dental, and vision insurance premiums fully covered for you and your dependents. * Pre ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Experience building and supporting enterprise data pipelines, ETL/ELT processes, or data services.

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Experience building and supporting enterprise data pipelines, ETL/ELT processes, or data services.

Kemper

Senior Data Systems Analyst

Hartford, CT · On-site

Business Process Validation * Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data warehouse environments. Demonstrated Expertise In * Data quality ...

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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 Connecticut?

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

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

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

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

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

Insurance Data Processing jobs near you

Python-Snowflake Data engineer Cognizant · Hartford, CT Posted yesterday

Hartford, CT • On-site

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Posted 8 days ago

Job description

This role is for a senior developer with six to ten years of experience who designs and develops data solutions using Python and Snowflake platforms in a hybrid work model. The role focuses on building scalable data pipelines and robust Snowflake SQL tasks to support complex analytics for enterprise clients, with added value if the individual has experience in property and casualty insurance data.

  • Design and implement scalable data processing solutions using Python that transform raw data into reliable assets for analytics and reporting
  • Develop and optimize complex Snowflake SQL queries and tasks that support enterprise data warehousing and operational reporting needs
  • Build resilient batch and near real time data pipelines that move data efficiently across systems while maintaining accuracy and consistency
  • Create reusable Python modules and frameworks that standardize data ingestion transformation and validation patterns across multiple projects
  • Optimize Snowflake workloads by tuning queries managing clustering strategies and improving resource usage to deliver predictable performance
  • Implement robust monitoring and alerting for Snowflake tasks and Python jobs to detect issues early and reduce downtime for data consumers
  • Collaborate with data architects analysts and product partners to translate business requirements into technical designs and implementation plans
  • Document data models data flows and pipeline logic clearly so that teams can maintain troubleshoot and
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