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

System One

Electrical Data Analyst

Seattle, WA · On-site

$35.36/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

System One

Electrical Data Analyst

Seattle, WA · On-site

$35.36/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Amazon

Data Analyst, Returns SX

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use analytics and data mining techniques to solve complex problems and drive business decisions ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

PEMCO

Senior Software Engineer in Test (Sr. SDET)

Seattle, WA · On-site

$125K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Insurance Data Analytics information

See Seattle, WA salary details

$27

$62

$107

How much do insurance data analytics jobs pay per hour?

As of Aug 17, 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 August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $129,591 per year, or $62.3 per hour.

Electrical Data Analyst

System One

Seattle, WA • On-site

$35.36/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

Job description

Job Title: Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract Compensation: $35.36 per hour on W2 Security Clearance: US Citizen or Greencard Holder Responsibilities

  • Utilize AGA model validation tool to monitor & identify electrical phase mismatching, load islanding, model looping, and incorrect transformer-to-meter relationships.
  • Leverage ESRI ArcMap software to make edits to the LRDS electrical model.
  • Field & research discrepancy reports to determine required corrections.
  • Consult data tables & complete meter-to-transformer ties.
  • Use MS Access databases to track & verify mapping changes.
  • May require fieldwork to physically verify electrical model conditions.
Requirements
  • Requires two years electrical engineering experience, and an Associate Degree in Electrical Engineering Technology or two years of college level instruction in electrical engineering (or a combination of education and/or training and/or experience which provides an equivalent background required to perform the work of the class).
  • Enjoys working with data and good with detail-oriented projects.
  • On-Site Work Requirement.
  • BS in Electrical Engineering or related field.
  • Working knowledge/familiarity of GIS.
  • Electrical Engineering or GIS experience at a utility preferred.
  • 1 or more years electrical distribution system experience.
System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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