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Insurance Data Processing Jobs in Tennessee (NOW HIRING)

Preferred : • Experience in banking, insurance, lending or leasing - business acumen and business process experience • Experience supporting data operations, reporting, or analytics for business ...

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Lead Cloud Data Engineer

Memphis, TN · Hybrid

$99K - $131K/yr

Optimize the performance of data processing jobs and Redshift queries. * Deploy infrastructure as ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

Phlebotomist Float

Cordova, TN · On-site

$21 - $24/hr

... process. * Ensure all biohazard materials and sharps are disposed of in strict accordance with safety laws and internal policies. * Enter patient demographics, insurance data, and billing information ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Identify workflow bottlenecks and recommend automation or process enhancements to boost efficiency ... Vision insurance

Technician, Accounting II-CGS

Nashville, TN · On-site

$40K - $53K/yr

... insurance company in South Carolina ... and much more. We are one of the nation's leading administrators of government contracts. We operate one of the most sophisticated data processing centers in ...

... insurance company in South Carolina ... and much more. We are one of the nation's leading administrators of government contracts. We operate one of the most sophisticated data processing centers in ...

Our vision has an emphasis on cost-effective processes for our customer technology and medical ... Health insurance * Vision insurance * Paid time off * Paid holidays Position Overview The Data ...

Insurance Account Manager

Franklin, TN · On-site

$55K - $85K/yr

The Insurance Account Manager is responsible for servicing and supporting client accounts, managing ... process from start to finish, including data collection, submissions, quote review, and renewal ...

Insurance Account Manager

Franklin, TN · On-site

$55K - $85K/yr

The Insurance Account Manager is responsible for servicing and supporting client accounts, managing ... process from start to finish, including data collection, submissions, quote review, and renewal ...

... insurance company processes and functions. Established relationships with multiple areas of ... Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.

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Insurance Data Processing information

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

Data Specialist

Caterpillar Inc.

Nashville, TN • On-site

Full-time

Posted 2 days ago


Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 459 frontline employees who took The Breakroom Quiz

220th of 418 rated machine equipment manufacturers


Job description

Job Summary:
Caterpillar Inc. is a global leader in manufacturing construction and mining equipment, and they are seeking a Data Specialist to support their Master Data Management & Data Governance team at Cat Financial. The role involves analyzing data requirements, ensuring data accuracy, and engaging in strategic data projects to enhance data quality and management across the organization.
Responsibilities:
• Analyzing requirements based on the understanding of conformed models and catering solutions that are implementable and maintainable.
• Discerning data accuracies in large sets of data of diverse formats
• Researching, designing, and documenting data specifications at all points in the data life cycle.
• Understanding data structures and software used to manage data.
Qualifications:
Required:
• Analyzing requirements based on the understanding of conformed models and catering solutions that are implementable and maintainable.
• Discerning data accuracies in large sets of data of diverse formats
• Researching, designing, and documenting data specifications at all points in the data life cycle.
• Understanding data structures and software used to manage data.
• Knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.
• Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience.
• Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications.
• Knowledge of database systems; ability to learn and improve upon a data model for designing an organization's database that runs effectively and efficiently for better business outcome.
• Knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency.
• Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.
Preferred:
• Experience in banking, insurance, lending or leasing - business acumen and business process experience
• Experience supporting data operations, reporting, or analytics for business stakeholders
• Proficiency with data tools, queries, and datasets used to deliver accurate, timely insights
• Ability to manage recurring deliverables while supporting ad‑hoc requests and shifting priorities
• Demonstrated attention to data quality, governance, and documentation standards
• Proven collaboration skills with cross‑functional partners to translate business needs into data solutions
• Self‑directed, reliable, and capable of operating with minimal oversight in a fast‑paced environment
• Experience with developing and publishing PowerBI reports, dashboards
• SQL fundamentals, working knowledge of Snowflake or Salesforce, Azure DevOps
Company:
For 100 years, we’ve been helping customers build a better, more sustainable world. Founded in 1925, the company is headquartered in Peoria Heights, USA, with a team of 10001+ employees. The company is currently Late Stage.

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