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

Collabera Digital

Data Analyst

Redmond, WA · On-site

$156K - $163K/yr

Azure Data Factory (ADF) Pipelines * SQL Server Analysis Services (SSAS) Candidate Profile ... medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long term ...

magniX

Data Analyst

Everett, WA · On-site

Working closely with our Program Analytics PM and Finance lead, you will own the data layer that ... Company paid Life insurance, AD&D, Short-Term and Long-Term disability insurance * Catered lunches ...

New

Collabera Digital

Data Analyst

Redmond, WA · On-site

$147K - $156K/yr

We are seeking an Azure Data Engineer to support workforce planning and analytics solutions. The ... insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability ...

MAGNIX USA INC

Data Analyst

Everett, WA · On-site

$90K - $130K/yr

Working closely with our Program Analytics PM and Finance lead, you will own the data layer that ... Company paid Life insurance, AD&D, Short-Term and Long-Term disability insurance * Catered lunches ...

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 ...

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 ...

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

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 Aug 18, 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.

Data Analyst

Collabera Digital

Redmond, WA • On-site

$156K - $163K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

About Ascendion
Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth.
Learn more at https://ascendion.com/ .
Engineering to the Power of AI™, AAVA™, Engineering AI , Engineering to Elevate Life™, Enterprise Platforms AI , Data & Insights AI , Experience AI , GCC AI , Operations AI , Platform Engineering AI , Product AI , and Quality Engineering AI are trademarks or service marks of Ascendion ® . AAVA™ is pending registration. Unauthorized use is strictly prohibited.
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
  • Build the coolest tech for the world's leading brands
  • Solve complex problems - and learn new skills
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands-on experience

Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
Team / Project Overview:
  • The team works on Data Center workforce/headcount planning and builds forecasting models, automation tools, and SQL-based solutions.
  • The role has a strong Data Engineering + SQL programming focus.
  • SQL is particularly important for ensuring data quality and preparing the data required to build and maintain pipelines.

Must Haves:
  • SQL / SQL Database
  • Python
  • Azure Data Factory (ADF) Pipelines
  • SQL Server Analysis Services (SSAS)

Candidate Profile:
  • Strong SQL is particularly important.
  • Data Engineers with strong SQL programming skills can be considered.
  • Candidates can come from different technical backgrounds; the focus is primarily on technical capability rather than workforce-planning experience.
  • Workforce planning experience is NOT required.

Explain a typical day in the role.:
  • Develop, maintain, and enhance staffing and workforce planning models.
  • Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services.
  • Develop analytical solutions and automation using SQL and Python.
  • Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning.
  • Support data integrations, ETL processes, and reporting solutions.
  • Work with tabular data models, including SSAS cubes.
  • Ensure data quality, reliability, and scalability across planning and reporting platforms.
  • Partner with business stakeholders to translate workforce planning requirements into analytical solutions.

What is the ideal background of a candidate for this role?:
  • Advanced SQL development and database design expertise
  • Strong Python programming skills for data analysis, automation, and data engineering tasks
  • Experience with Azure SQL Database administration, performance tuning, and troubleshooting
  • Azure Data Factory (ADF) pipeline development and maintenance
  • Experience building and maintaining analytical and forecasting models
  • Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling
  • Understanding of Azure data platform services and cloud-based data architectures
  • Strong analytical, troubleshooting, and communication skills

Best vs. Average:
  • The ideal resume would contain related tech industry experience

Education/Experience:
  • Bachelor's degree in a technical field such as computer science, computer engineering or related field required
  • 5+ years applicable experience required

Salary and Other Compensation:The annual salary for this position is between $156,000 - 163,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long term disability insurance [shortterm disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!
Preferred Skills
Azure
  • Python
  • SQL Azure
  • SQL
  • ETL
  • SSAS

Apply