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Insurance Data Analytics Jobs in Oregon (NOW HIRING)

StarRez

Product Manager, Data & Analytics

OR · On-site +1

The Role As the Product Manager, Data & Analytics, you will define and execute the strategy for ... Full benefits including health care, paid time off, life insurance, and 401k plan with company ...

Klamath Basin Behavioral Health (KBBH)

OR · On-site

$51K - $64K/yr

Dental Insurance * Vision Insurance * 403(b) Retirement Plan with 8% Employer Match * 15 Paid ... Translate business questions into meaningful analytics, dashboards, and performance measures.

SAIF

Senior Claims Data Analyst

Salem, OR · On-site +1

$86K - $109K/yr

... insurance company. So, naturally, this is not your typical analyst position. As our new senior ... You'll extrapolate data to help drive decisions and create visuals to share with others. You'll ...

SAIF

Senior Claims Data Analyst

Salem, OR · On-site

$86K - $109K/yr

... insurance company. So, naturally, this is not your typical analyst position. As our new senior ... You'll extrapolate data to help drive decisions and create visuals to share with others. You'll ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

This role will leverage best practices in data modeling, visualization, and analytics to deliver ... We offer a full benefits package, including medical, dental, vision, life insurance, disability ...

Bluesight

Data Analyst

OR · 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 ...

Aflac, Incorporated

Data Analyst

$52K - $80K/yr

... of the business and the insurance industry preferred. • Ability to successfully work ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

Bluesight

Associate Data Analyst

OR · 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 ...

Aflac, Incorporated

Sr Data Analyst

$70K - $105K/yr

... the insurance industry. • Ability to successfully work independently or with a team. • ... Bachelor's Degree in Analytics, Computer Science or a related field. * 2+ years of job-related ...

SAIF Corporation

Senior Claims Data Analyst

Salem, OR · On-site

$93 - $110/hr

Mission-driven. Not-for-profit. These are just two reasons SAIF is not your typical insurance company. So, naturally, this is not your typical analyst position. As our new senior claims data analyst ...

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Develop solutions that support analytics, profitability, and margin improvement. * Partner with ... insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life ...

Care Access

Enterprise Performance Analytics Engineer

OR · On-site +1

$80K - $110K/yr

Transform data into well-documented, tested, and trusted datasets for analysis and reporting ... insurance plan options * Health Savings Account and Flexible Spending Accounts * Bi-weekly HSA ...

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Insurance Data Analytics information

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

What are the most commonly searched types of Insurance Data Analytics jobs in Oregon?

The most popular types of Insurance Data Analytics jobs in Oregon are:

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

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

What job categories do people searching Insurance Data Analytics jobs in Oregon look for?

The top searched job categories for Insurance Data Analytics jobs in Oregon are:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Insurance Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 23 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.

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