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Insurance Data Analyst Jobs in Oregon (NOW HIRING)

Data Analyst

OR ยท On-site +1

$70K - $82K/yr

We're looking for a Data Analyst to support the implementation of Bluesight SaaS products for our ... insurance coverage -401k program with a company match -Fun, collaborative culture! EOE AA M/F/VET ...

New

OR ยท On-site

$51K - $64K/yr

Dental Insurance * Vision Insurance * 403(b) Retirement Plan with 8% Employer Match * 15 Paid ... Klamath Basin Behavioral Health is seeking a QPI Data Analyst I to help turn data into clear ...

Associate Data Analyst

OR ยท On-site +1

$55K - $65K/yr

We're seeking a Data Integration Analyst to support the successful implementation of Bluesight ... insurance coverage -401k program with a company match -Fun, collaborative culture! EOE AA M/F/VET ...

Role Overview This position is for a lead data analyst with a background in Payroll. The role ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Senior Data Analyst - Financial Analytics

OR ยท On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... We offer a full benefits package, including medical, dental, vision, life insurance, disability ...

Finance Data Platform Specialist

OR ยท On-site +1

$115K - $130K/yr

... health insurance solutions for those planning for and living in retirement. Associates get ... Gather, analyze, and document business and functional requirements for finance data initiatives.

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Showing results 1-20

Insurance Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do insurance data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for insurance data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What does an insurance data analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

What are the key skills and qualifications needed to thrive as an insurance data analyst?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an insurance data analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

How much does an insurance data analyst for an insurance company make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with advanced skills or certifications can earn higher salaries. The role often requires proficiency in data analysis tools like SQL and Excel, and knowledge of insurance industry data.

What are popular job titles related to Insurance Data Analyst jobs in Oregon?

For Insurance Data Analyst jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Insurance Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 71% In-person, 6% Hybrid, and 23% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Contractor

Re-posted 11 days ago


Job description


Title: Insurance Data Analyst
Duration: 2 Months
Location: Portland, OR
Job Description
The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting.
Requirements
Responsibilities
  • This role involvesconsolidating information from claims, policies, exposures, and historicalloss records; performing data quality checks; identifying inconsistenciesor gaps; and preparing structured datasets aligned with Riskonnect's datamapping and upload requirements.
  • The contractor will leverageadvanced Excel skills-including complex formulas, data cleansingtechniques, pivot tables, and data validation tools-to efficientlytransform and audit large datasets prior to migration.
  • They will collaborate closelywith internal stakeholders and the implementation team to ensure accuratedata migration, support user acceptance testing with analytical insights,and document data processes to enable smooth adoption of the new platform.
  • Clear communication,meticulous attention to detail, and the ability to work independently in afast-moving implementation environment are essential.