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Insurance Data Processing Jobs in California (NOW HIRING)

TARLANI Healthcare

Data Entry Operator

Montrose, CA · On-site

$21 - $23/hr

Accurately enter and update patient, insurance, billing, and related information in EMR systems * Support patient care management through timely data processing and system reporting * Review and ...

SpaceXAI

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

... insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

SpaceXAI

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

... insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Russell Tobin

Data Analyst

Alhambra, CA · On-site

$35 - $40/hr

Document external data acquisition processes, business requirements, and workflow procedures ... insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an ...

Russell Tobin

Data Analyst

Alhambra, CA · On-site

$35 - $40/hr

Document external data acquisition processes, business requirements, and workflow procedures ... insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an ...

Brookfield

Sr P&C Data Scientist

Los Angeles, CA

Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance * Proactively identify opportunities to improve models, processes, data usage, and ...

Cotality

Principal, Data Engineer

Irvine, CA · On-site

Translate business requirements and processes into well-architected technical solutions, aligning ... Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable Annual Pay ...

Cotality

Principal, Data Engineer

Irvine, CA · On-site

Translate business requirements and processes into well-architected technical solutions, aligning ... Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable Annual Pay ...

Cotality

Principal, Data Engineer

Irvine, CA · On-site

$154.60 - $195/hr

Translate business requirements and processes into well-architected technical solutions, aligning ... Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable**Annual Pay ...

CYNET SYSTEMS

Operations Data Analyst

Dublin, CA · On-site

$43.85 - $48.85/hr

Work with other Data Management Analysts to process data, analyze data and report findings. Create ... Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA ...

CYNET SYSTEMS

Operations Data Analyst

Dublin, CA · On-site

$43 - $48/hr

Work with other Data Management Analysts to process data, analyze data and report findings ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

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All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in California

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 California?

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

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

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

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

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

Insurance Data Processing jobs near you

Consulting Actuary - Technology Risk

Lockton Companies

San Francisco, CA • On-site

$80 - $120/hr

Other

Posted 4 days ago

Lockton rating

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

34th of 311 rated insurance

Job description

We seek an experienced Insurance Analytics Specialist/Actuary to join our team. You will serve as a daily liaison between our account team and internal analytics partners, ensuring data quality and workflow management.

Key Responsibilities

Advanced Analytics for Bespoke Analysis

  • Perform sophisticated analytical research on specialized insurance topics, including innovative initiatives in autonomy and actuarial research.
  • Design and implement analytical models to evaluate risk factors, pricing implications, and coverage considerations for specialized insurance scenarios.
  • Translate complex insurance data into meaningful insights that drive strategic decision‑making.
  • Develop data visualization tools to communicate analytical findings to stakeholders at various levels effectively.
  • Research industry trends and emerging risks to provide proactive recommendations on underwriting approaches.
  • Support internal analytics initiatives by applying statistical techniques to uncover patterns and relationships within insurance data.

Data Review and Workload Management with our internal Analytics partners

  • Serve as the primary liaison between our team and internal analytics partners, anticipating their data requirements and questions.
  • Conduct comprehensive data validation checks to ensure completeness and accuracy.
  • Identify and resolve data discrepancies or missing elements independently.
  • Develop and implement standardized data preparation procedures to streamline the review process and minimize delays.
Qualifications

Required Qualifications

  • Bachelor's degree in Analytics, Statistics, Actuarial Science, Finance, Economics, Insurance, or related field.
  • At least 4-6 years of experience in insurance analytics, data analysis, or a related role within the insurance industry.
  • Demonstrated understanding of fundamental insurance concepts, including supply/demand dynamics, loss components, and their interrelationships.
  • Proficiency in data analysis tools such as Excel, SQL, and Python.
  • Experience with data quality assurance processes and validation methodologies.
  • Strong analytical skills with the ability to interpret complex datasets and identify meaningful patterns.

Preferred Qualifications

  • Insurance industry certifications such as ACAS, CPCU, or ARM.
  • Experience working with claims data, policy information, and underwriting systems.
  • Background in predictive modeling or machine learning applications in insurance.
  • Knowledge of the forefront of technology innovations and related insurance implications.
  • Experience with data visualization tools like Tableau or Power BI.
Working Conditions

This full‑time position primarily operates in an office environment. The role may require occasional travel to meet with partners or attend industry events. Some flexibility in work scheduling may be necessary to meet project deadlines.

Equal Opportunity Statement

Lockton Companies is proud to provide everyone anequal opportunity to grow and advance. We are committed to an inclusive culture and environment where our people, clients and communities are treated with respect and dignity.

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