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

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

TikTok

TikTok Shop - Strategy & Data Analyst, E-Commerce

Seattle, WA · On-site

$115K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Preferred Qualification: - Experience in operations analysis, business analysis, and data analysis ... Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Farmers Insurance

Senior Associate Decision Scientist

Bellevue, WA · On-site +1

$66K - $66K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have 2 years of experience working with each of the following: applying data analysis, statistical, and mathematical modeling in the Life Insurance industry or P&C Insurance industry; software ...

Farmers Insurance

Senior Associate Decision Scientist

Bellevue, WA · On-site

$66K - $66K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have 2 years of experience working with each of the following: applying data analysis, statistical, and mathematical modeling in the Life Insurance industry or P&C Insurance industry; software ...

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Showing results 21-40

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 Aug 16, 2026, the average yearly pay for insurance data analyst in Seattle, WA is $94,047.00, 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 make?

The average salary for an insurance data analyst typically ranges from $60,000 to $85,000 per year, depending on experience, location, and certifications. Professionals with advanced skills in data analysis tools like SQL, Excel, or Python may earn higher salaries, especially in larger companies or competitive markets.

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 August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Project Perseus \u007C Speech & Voice AI Analyst- Simplified Chinese Speakers

Welo Data

Seattle, WA

$26 - $28/hr

Full-time

Posted 9 days ago

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: Data Labeling Analyst
  • 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 Simplified Chinese
  • 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
Why This Role

This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.

It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.


Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.