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Insurance Data Analyst Jobs in Oregon (NOW HIRING)

Hp

Principal Data Solutions Architect

Corvallis, OR

$147K - $230K/yr

Data Analysis * Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

BlueLabs, Inc.

OR · On-site

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Premier health insurance plan * 401K matching * Unlimited vacation * Paid sick, personal, and ...

Amerilife Group, LLC

OR · On-site

Job Summary AmeriLife is a national leader in insurance and financial services. Our AI & Data ... Your work will span the full lifecycle - from exploratory analysis through model deployment and ...

Careoregon

OR · On-site

Health insurance * Systems analysis and design * Agile/Scrum methodology Preferred * Data analysis and design * Experience in health care or managed care Knowledge, Skills and Abilities Required ...

Cotiviti

$78K - $120K/yr

The role includes performing data gap analysis, developing and maintaining a semantic layer, and ... insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 ...

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All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Oregon

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 Jul 14, 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.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office 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.

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 industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

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.

What does a data analyst do in insurance?

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

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing 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 path.
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:
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:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.
Principal Data Solutions Architect

Principal Data Solutions Architect

HP Development Company, L.P.

Corvallis, OR • On-site

$147K - $230K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 2 days ago

Job description

Principal Data Solutions Architect
Description -
Principal Data Solutions Architect
Job Summary
HP PageWide Industrial operates at the intersection of high-performance hardware, industrial software, and real-time data at factory scale. This role is for a senior architect who wants to shape how industrial presses connect to cloud platforms, partner ecosystems, and AI-enabled solutions-unlocking real-time productivity insights and enabling the next generation of intelligent, autonomous press operations.
This role is responsible for partnering across solution delivery organizations to define the PWI press data strategy and APIs that integrate our presses with customer factory management systems, third-party analytics and workflow solutions, robotics, and the HP PrintOS platform and applications.
Responsibilities
  • Own and lead the end-to-end ecosystem integration architecture; consider the data, systems, and workflows spanning many domains including presses, jobs, attached or involved devices, AI capabilities and agents, and partner systems within factory settings and associated cloud services.
  • Set architectural guardrails that ensure security, scalability, reliability, and customer extensibility.
  • Define and evolve the technical roadmap and target-state architecture for press-to-factory and cloud ecosystem integrations.
  • Serve as the architectural authority to define factory-level and partner-facing API standards, contracts, and governance.
  • Partner with internal teams to ensure robust data models, schemas, versioning, and lifecycle management.
  • Lead evaluation and adoption of industry standards and emerging opportunities.
  • Explore, prototype, and validate AI-enabled use cases leveraging press and factory data.
  • Engage directly with customers and partners as needed for technical escalations, integration strategy alignment, and early adopter and pilot engagements.
  • Leverage recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Build and manage relationships throughout the Industrial Print organization.
  • Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
  • Provide guidance and mentoring to less experienced staff members.

Education & Experience Required
  • Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience designing and delivering high-performant industrial software, data engineering, cloud platforms, or a related field.
  • Experience in industrial automation, smart manufacturing, IIoT, robotics, or factory software ecosystems is appreciated.
  • Hands-on experience with applied AI/ML systems, analytics platforms, or data science collaboration.
  • Familiarity with cybersecurity considerations in industrial and cloud-connected environments.
  • Experience working with external partners, standards bodies, or large enterprise customers.

Desirable Knowledge & Skills
  • Agile Methodology
  • AI Domains for Industrial Applications
  • computer vision, agentic AI, predictive maintenance, anomaly detection, troubleshooting
  • Amazon Web Services
  • Big Data
  • Data Analysis
  • Data Engineering
  • Data Modeling
  • Digital Twins
  • Hybrid Edge+Cloud Systems
  • Extract Transform Load (ETL)
  • Product Leadership
  • Python (Programming Language)
  • Roadmap Develoiper
  • Scalability
  • SQL (Programming Language)
  • Software Architecture
  • System Analysis

Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity
  • Sound Judgment
  • Creative Understanding

Impact & Scope
  • Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
  • Provides highly innovative solutions to complex problems within established policy.

Disclaimer
  • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Salary
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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