1

Insurance Data Processing Jobs in Illinois (NOW HIRING)

... data processing * Deep expertise in machine learning , spanning classical time-series models ... Benefits package - medical insurance, vision, dental, etc. * Corporate social events * Professional ...

Crop Insurance Processor

Brighton, IL · Hybrid

$48K - $65K/yr

... data into systems, organize documents, and monitor workflows to ensure timely policy processing ... What We're Looking For 3-5 years' experience in insurance processing, underwriting, or customer ...

Crop Insurance Processor

Brighton, IL · On-site

$48K - $65K/yr

... data into systems, organize documents, and monitor workflows to ensure timely policy processing ... What We're Looking For • 3-5 years' experience in insurance processing, underwriting, or customer ...

Crop Insurance Processor

Brighton, IL · On-site

$48K - $65K/yr

... data into systems, organize documents, and monitor workflows to ensure timely policy processing ... What We're Looking For • 3-5 years' experience in insurance processing, underwriting, or customer ...

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

Mentor team members, share best practices, and contribute to process improvements and automation ... insurance; short- and long-term disability coverage; a 401(k) with employer match; education ...

Variable Data Programmer

Wheeling, IL · On-site

$80K - $100K/yr

Mentor team members, share best practices, and contribute to process improvements and automation ... insurance; short- and long-term disability coverage; a 401(k) with employer match; education ...

Data Scientist - Insurance

Chicago, IL · On-site

$88.75K - $141.25K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

Data Scientist - Insurance

Chicago, IL · On-site

$88.75K - $141.25K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

Leads system change process from requirements through implementation; provides user and operational ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

... process and helping them make informed decisions. Key Responsibilities: Collect and submit employee census data to multiple insurance carriers to obtain competitive quotes. Analyze group health ...

Experience in data integration, data processing, streaming, and messaging technologies. * Strong ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Senior Data Engineer

Chicago, IL · On-site +1

$109.20K - $148.30K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

Senior Data Engineer

Chicago, IL · On-site

$109.20K - $148.30K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

Senior Data Engineer

Chicago, IL · On-site

$109.20K - $148.30K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

next page

Showing results 1-20

Insurance Data Processing information

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 are popular job titles related to Insurance Data Processing jobs in Illinois? For Insurance Data Processing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in Illinois look for? The top searched job categories for Insurance Data Processing jobs in Illinois are:
What cities in Illinois are hiring for Insurance Data Processing jobs? Cities in Illinois with the most Insurance Data Processing job openings:

Data Engineer (All Levels) - Shiloh, IL

Silverthorne Advisory Group LLC

Scott Air Force Base, IL

$110.60K - $132.80K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Benefits:
  • Retirement Plan
  • 401(k)
  • 401(k) matching
  • Bonus based on performance
  • Company parties
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Training & development
  • Vision insurance

Job Description
Silverthorne Advisory Group is seeking a skilled and highly motivated Data Engineer to join an exciting and growing opportunity within the Defense sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and
systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
Responsibilities
  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
  • Maintain documentation for software applications, workflows, and processes.
  • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

Requirements
  • Secret clearance or higher required (can be sponsored).
  • Strong SQL knowledge: Ability to write, troubleshoot, and modify complex SQL procedures and queries across a variety of datasets.
  • Extract, Transform, Load (ETL) experience: Experience with establishing and maintaining data load processes as well as manipulating and combining various data sources.
  • Business Intelligence experience: Creating and updating applications, reports, dashboards, etc. Cognos Analytics, Qlik Sense, and Power BI especially are relevant to the role.
  • Python and Coding experience: Hands-on experience with languages/technologies such as Python, Spark, Scala, JavaScript/JSON, and SQL.
  • Databricks experience: Familiarity with Databricks, Amazon AWS/S3, Jupyter Notebooks will be helpful in the role.
  • Strong problem-solving skills and ability to solve complex data-related issues.
  • Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
  • Understanding of data modeling/visualization, database design principles, and data governance practices.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Detail-oriented mindset with a commitment to delivering high-quality results.
  • Teradata experience is a plus. Knowledge of Multiloads, BTEQs, and other assorted Teradata procedures will be helpful in the role.
  • Accounting knowledge is a plus. Some background on DoD accounting system (DEAMS, TFMS, NERP etc.) and transportation policies will be helpful in the role.

Benefits
  • Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law.
  • Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families.
  • Retirement Plan We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds.
  • Paid Time Off - Based on length of service, we offer a generous amount of paid leave.
  • Bonus System As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year.
  • Professional Development Support for career growth through training programs and certifications.
  • Company Retreats & Team Events Sponsored trips, team-building activities, and annual conferences related to your skillset.