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Insurance Data Analyst Jobs in Seattle, WA (NOW HIRING)

Welocalize

Polish Data Labeler

Seattle, WA · On-site

$26 - $28/hr

Project Perseus | Speech & Voice AI Analyst - Polish Speakers * Hiring in: Onsite (Bay Area ... Medical, Dental, and Vision Insurance (eligibility applies) * Health Savings Account (HSA) * 401(k) ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$125 - $150/hr

This position is part of the Advanced Analytics team, a collaborative group that creates analytics ... Life and accidental death and dismemberment insurance. * EAP services including wellness plans ...

Wimmer Solutions

Data Governance Analyst

Renton, WA · On-site

$40 - $50/hr

DATA GOVERNANCE ANALYST ONSITE (Renton, WA) 24496 At Wimmer Solutions, we believe care creates ... Life & Accidental Death and Dismemberment Insurance * Short and Long-Term Disability * Payroll ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Life and accidental death and dismemberment insurance * EAP services including wellness plans ...

Accenture

Commercial Insurance Analyst

Seattle, WA · On-site

$23.13 - $48.13/hr

The primary responsibility of the Commercial Insurance Analyst is to ensure compliance with the ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

Accenture

Commercial Insurance Analyst

Redmond, WA · On-site

$23.13 - $48.13/hr

The primary responsibility of the Commercial Insurance Analyst is to ensure compliance with the ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

Accenture

Commercial Insurance Analyst

Kirkland, WA · On-site

$23.13 - $48.13/hr

The primary responsibility of the Commercial Insurance Analyst is to ensure compliance with the ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

PEMCO

Senior Software Engineer in Test (Sr. SDET)

Seattle, WA · On-site

$125K - $163K/yr

Experience with insurance data warehouse modernization, cloud migration, data governance, analytics ... enablement, or AI/ML data quality initiatives. * Experience creating self-service test data tools ...

PACCAR Inc

Pricing Analyst

Kirkland, WA · On-site

$100 - $125/hr

Provide data analysis and recommendations to support pricing initiatives. * Create relationships ... Life and accidental death and dismemberment insurance * EAP services include wellness plans, estate ...

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Showing results 41-60

All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Seattle, WA

Insurance Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do insurance data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for insurance data analyst in Seattle, WA is $94,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 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 Seattle, WA?

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

What job categories do people searching Insurance Data Analyst jobs in Seattle, WA look for?

The top searched job categories for Insurance Data Analyst jobs in Seattle, WA are:

Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Seattle, WA as of September 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $94,045 per year, or $45.2 per hour.

Polish Data Labeler

Seattle, WA • On-site

Welocalize
Translation Services • 1 - 5K employees
Learn more about Welocalizeexternal

$26 - $28/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

340th of 500 rated business services

Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details

  • Job Title: Project Perseus | Speech & Voice AI Analyst - Polish Speakers
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You'll Do

  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions

What We're Looking For

  • Native-level fluency in Polish
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus

Benefits

  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location

What Welocalize employees say

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