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

Trupanion

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

Company Description Trupanion is a leading provider of medical insurance for cats and dogs in North ... Data Analytics and Data Science teams to map business requirements into high-performance user ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

Company Description Trupanion is a leading provider of medical insurance for cats and dogs in North ... Data Analytics and Data Science teams to map business requirements into high-performance user ...

Amazon

Data Analyst, Returns SX

Bellevue, WA · On-site

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 ...

System One

Electrical Data Analyst

Seattle, WA · On-site

$35.36/hr

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

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

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

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

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 ...

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 ...

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Insurance Data Analytics information

See Seattle, WA salary details

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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.

Mapping Data Analyst

Bothell, WA • On-site

Cognizant Technology Solutions
See more jobs at Cognizant Technology Solutionsexternal

$19 - $21.60/hr

Full-time

Medical, Dental, Life, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

At Cognizant, we strive to provide flexibility wherever possible and support a healthy work-life balance through our wellbeing programs. Based on this role's business requirements, this is an onsite position requiring 5 days per week in a client or Cognizant office in Bothell, WA.
About the Role:
As a Mapping Data Analyst, you will serve as a subject-matter expert in data mining, analytics, reporting, and process improvement. You will leverage data to identify operational opportunities, improve efficiency and accuracy, accelerate model and algorithm performance, and provide actionable insights that support business decisions. This role combines analytical expertise, technical problem-solving, and operational collaboration. Success in this role comes from strong analytical thinking, attention to detail, data storytelling, and the ability to translate complex data into meaningful business recommendations. You will work closely with mapping operations, advanced operators, quality teams, and business stakeholders as part of the Cognizant team.
In This Role, You Will:
Data Analysis & Reporting
  • Understand business and analytical needs, document requirements, and prioritize improvement initiatives.
  • Build and maintain SQL queries, scripts, dashboards, and reports to track operational performance.
  • Use statistical methods to analyze data and generate actionable insights.
  • Create meaningful visualizations and reporting solutions for stakeholders and clients.
  • Monitor key performance indicators and identify trends, risks, and opportunities.
  • Measure solution effectiveness through before-and-after performance metrics.

Process Improvement & Operational Excellence
  • Identify opportunities to improve quality, productivity, and operational efficiency.
  • Develop recommendations and proposals based on data-driven insights.
  • Collaborate with Advanced Operators and cross-functional teams to test improvement hypotheses.
  • Support initiatives that streamline workflows and optimize business processes.
  • Identify and implement data quality improvements and automation opportunities.
  • Serve as a point of contact for data-related questions and analytical support.

Technical Solutions & Data Management
  • Utilize SQL, Oracle, Python, and other tools to prepare, analyze, and present data.
  • Apply knowledge of JSON to support data workflows, integrations, and reporting solutions.
  • Assist in the development and enhancement of data pipelines to improve throughput and near real-time insights.
  • Manage source code updates using version control best practices.
  • Ensure data management processes and scripts comply with established standards and best practices.
  • Support initiatives involving spatial data analysis when applicable.

What We're Looking For:
  • Strong analytical and problem-solving skills with the ability to interpret complex datasets.
  • Experience working with SQL and data visualization or reporting tools.
  • Knowledge of Python, Oracle, JSON, or similar technologies for data analysis and automation.
  • Ability to communicate insights effectively to technical and non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy and quality.
  • Experience with process improvement, operational analytics, or business reporting is preferred.
  • Knowledge of spatial or geospatial data analysis is a plus.
  • Ability to work collaboratively in a fast-paced operational environment.
  • Willingness to work onsite in Bothell, WA.

Salary & Benefits
The hourly rate for this position ranges from $19.00 - $21.60 per hour, depending on experience and qualifications.
Benefits include: • Life & Disability Insurance
• Group Health, Dental & Wellness
• Sick Leave
• 401(k) Plan and Contributions
The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
Cog2026
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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