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

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Data Scientist (Multiple Positions)

Seattle, WA · On-site

$129K - $250K/yr

Apply quantitative analysis to understand data, provide actionable insights, and measure the data ... Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with ...

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Insurance Data Analytics information

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$27

$62

$107

How much do insurance data analytics jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for insurance data analytics in Seattle, WA is $62.30, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $70.58 per hour, depending on experience, location, and employer.

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 Seattle, WA?

The most popular types of Insurance Data Analytics jobs in Seattle, WA are:

What are popular job titles related to Insurance Data Analytics jobs in Seattle, WA?

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

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

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

What cities near Seattle, WA are hiring for Insurance Data Analytics jobs?

Cities near Seattle, WA with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Seattle, WA as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $129,591 per year, or $62.3 per hour.

Data Annotation Specialist - Seattle (On Site)

Seattle, WA • On-site

Welo Data
Data Services • 1 - 5K employees
Learn more about Welo Dataexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago

Job description

OVERVIEW

Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.

Project Details
Job Title: Data Analyst
Location: Seattle (On-site)
Hours: Full-time, 40 hours per week
Start Date: November 2025
Employment Type: W2 Full-Time Employee

Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).

This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
  • Test new AI products and provide actionable feedback to improve functionality and user experience.
  • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
  • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
  • Analyze data for consistency, relevancy, and alignment with project goals.
  • Perform quality control to identify and report anomalies, error patterns, and discrepancies.
  • Use basic data analysis methods to extract insights and support continuous improvement.
  • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
  • University degree in linguistics, translation, or a related field.
  • 3-5 years of professional linguistics experience.
  • Strong analytical skills with the ability to detect patterns and anomalies.
  • Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
  • Adaptability to evolving priorities and project requirements.
Benefits
  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • Medical Insurance (subject to eligibility requirements)
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account (HSA)
  • Voluntary Life Insurance
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Telemedicine Benefit
  • 401(k) Retirement Plan
  • Employee Assistance Program
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.