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Insurance Data Analyst Jobs in Oregon (NOW HIRING)

BOLD

Senior Financial Analyst, Payments

OR · On-site +1

$85K - $106K/yr

We are seeking a Senior Financial Analyst who is business-minded, data-driven, and able to ... Pet Insurance (optional) Flexible Time Away * Flexible PTO * Sick time policy * Observed holidays ...

Clarios

Manufacturing Operations Analyst

Canby, OR · On-site

Use data to enable continuous improvement of HPT maturity and ongoing effectiveness * Coordinate ... insurance, and Employee Assistance Program * Global market strength and worldwide market share ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

We leverage cutting-edge technology and data-driven strategies to provide exceptional service to ... Benefits: • 401(k) • Dental insurance • Disability insurance • Employee discounts • ...

Centene

Actuarial Analyst

OR · On-site +1

$56K - $101K/yr

... for insurance benefits * Participate in merger and acquisition analysis * Additional ... Preferred: Experience with Excel (pivot tables, formulas, indexing, data analysis) and VBA.

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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 Sep 6, 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:

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 August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, 5% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Senior Financial Analyst, Payments

BOLD

OR • On-site, Remote

$85K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

We are seeking a Senior Financial Analyst who is business-minded, data-driven, and able to translate large and complex data sets into meaningful information and have the desire to influence BOLD's decision and performance. Using your strong analytical skills, you will review data surrounding payment acceptance rates, chargebacks, and other performance metrics in order to develop strategies to drive growth within the business. You will be working closely with our development team in order to implement changes to the internal e-commerce platform to support our payment strategies. In addition, you will help design the necessary reporting and tools required to effectively review and make changes to the e-commerce operation.

About this team

As our Senior Financial Analyst, Payments, you will report to the Finance Director, Payments and will be a key member of the team supporting BOLD's e-commerce function and relationships. 

What you'll do

  • Identify patterns in payment processing success, chargeback, and fraud rates by analyzing large quantity of data
  • Monitor and forecast payment related metrics, such as acceptance rate and fraud rate, and predict customer behaviors through data analysis and modeling
  • Understand the key drivers of company KPIs (Key Performance Indicators such as conversion rate, life time value of a customer, chargeback rate, and fraud rate) and the relative contribution of those drivers to the business performance through financial and statistical modeling
  • Monitor payment acceptance rates and track performance trends to proactively recommend adjustments to our payment processor allocation strategies when shifts occur
  • Review transaction and chargeback data across various card brands, processors, and gateways to monitor performance trends, proactively identifying anomalies and recommending solutions to address issues.
  • Make recommendations to improve operations, anti-fraud processes and system enhancements

What you'll need

  • Finance, Economics, Statistics or related degree required
  • 4 to 6 years of progressive experience in corporate finance, statistics, or a highly analytical finance role.
  • Ability to collaborate with and across teams throughout the company, including Finance, Platform, Customer Support, Product, and Marketing to drive results
  • Extensive experience in building complex financial models, conducting quantitative and qualitative financial analysis and scenario analysis
  • Strong written, verbal and presentation communication skills
  • Experience in presenting analysis to senior executives and working as a business partner across all departments
  • Thrive in a complex, fast-paced environment
  • Advanced Excel and Pivot Table proficiency and PowerPoint Skills
  • Strong analytical, quantitative, and problem-solving skills

What's good to have 

  • MBA or Master's degree in quantitative fields such as Economics, Statistics, Business Analytics
  • Experience with SiSense, Tableau or other data visualization tools
  • Previous experience in Payments is a plus

Benefits

Outstanding Compensation

  • Competitive salary
  • Bi-annual bonus
  • 401(k) plan with match
  • Equity in company
  • Flexible spending accounts (health, dependent care)
  • Internet and home office reimbursement

100% Full Health Benefits

  • Medical, dental, and vision (optional plans for your family)
  • Life & long-term disability insurance (optional)
  • Mental health support and resources
  • Wellness reimbursement (gym, health apps, etc.)
  • Pet Insurance (optional)

Flexible Time Away

  • Flexible PTO
  • Sick time policy
  • Observed holidays

Eligibility

Eligible Hiring Locations

This position is 100% remote, work from home.

BOLD can hire full-time residents of the following U.S. States & Territories: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Puerto Rico, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, and Wisconsin.

California Residents: Please see our privacy notice for more info on how we handle your data.

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