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Insurance Data Analyst Jobs in Oregon (NOW HIRING)

OR · Hybrid

At Shift, we build the most impactful products for insurers globally, leveraging data and agentic ... Proficiency in data analysis: Ability to find innovative ways to look at data and create useful ...

Data Analyst I

OR · On-site +1

$67K/yr

Data Analysts are instrumental members of BlueLabs Data Science and engagement teams. They gain ... Premier health insurance plan * 401K matching * Unlimited vacation leave * Paid sick, personal, and ...

Overview The (Senior) Corporate Data Analyst is responsible for working with stakeholders all areas ... Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic ...

OR · On-site

$67K - $89K/yr

GHX is seeking a Technical Data Analyst III to work on our Content Tooling solution with a focus on ... Other rewards and benefits include: health, vision, and dental insurance, accident and life ...

Senior Business & Data Analyst

OR · Remote

$100K - $125K/yr

About the Role We are looking for a Senior Business and Data Analyst who wants to help build ... Competitive salary * 100% paid coverage of medical, dental and vision insurance * Flexible PTO

New

OR

$65K - $81K/yr

The Technical Data Analyst II - Data Governance is responsible for working with data producers ... Other rewards and benefits include: health, vision, and dental insurance, accident and life ...

Junior Business & Data Analyst

OR · Remote

$75K - $95K/yr

Analyze data to identify trends, patterns, and anomalies. Support root cause analysis and ... Competitive salary * 100% paid coverage of medical, dental and vision insurance * Flexible PTO

New

OR · On-site

... Data Analyst. This individual will join our Bordereaux Management Product team to help ingest and ... Pet Insurance * Tuition reimbursement * Generous PTO * Flexible work arrangement * Fully stacked ...

$110K - $155K/yr

Design proof-of-concept solutions using an advanced understanding of financial insurance concepts ... Senior Data Solutions Analyst: $97,000- $138,000. Annual FTO days (Flexible Time Off): 20

$50 - $60/hr

... Insurance Planning. Benefits: * This is a full-time or part-time REMOTE position * You'll be able ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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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 Jun 18, 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 a data analyst do at an insurance company?

An insurance data analyst collects, analyzes, and interprets data related to policies, claims, and customer information to identify trends and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, pricing, and risk assessment processes.

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.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require knowledge of insurance industry metrics to improve underwriting, claims processing, and customer insights.

What are the key skills and qualifications needed to thrive as an Insurance Data Analyst, and why are they important?

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 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.

Is AI replacing data analysts?

AI is transforming the role of insurance data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can handle large datasets efficiently, human expertise remains essential for interpreting results, ensuring data quality, and applying domain knowledge. The role continues to evolve with skills in data management, programming, and AI tools being increasingly valuable.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career shift.
What job categories do people searching Insurance Data Analyst jobs in Oregon look for? The top searched job categories for Insurance Data Analyst jobs in Oregon are:
Infographic showing various Insurance Data Analyst job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Contractor

Posted 4 days ago


Job description

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.