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

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

Serve as the primary data partner for key business teams, helping them define their analytics ... insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite

New

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 ...

Data Analyst

Everett, WA

$102K - $125K/yr

Data Analyst Company: The Boeing Company Boeing Commercial Aircraft (BCA) Training and Compliance ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Data Analyst

Everett, WA · On-site

$102K - $125K/yr

Data Analyst Company: The Boeing Company Boeing Commercial Aircraft (BCA) Training and Compliance ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

We are looking for an experienced Data Analyst to join the Returns Customer Experience team to help ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

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Showing results 1-20

Insurance Data Analytics information

See Seattle, WA salary details

$27

$62

$107

How much do insurance data analytics jobs pay per hour?

As of Jun 12, 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 are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

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.

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.

How is data analytics used in insurance?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

What is an Insurance Data Analytics job?

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 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 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:
Infographic showing various Insurance Data Analytics job openings in Seattle, WA as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $129,591 per year, or $62.3 per hour.
Senior Data Analyst

$97K - $123K/yr

Other

Medical, Life, Retirement

Posted 2 days ago


Job description

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify reporting solutions, and collaborate with data engineering teams to prioritize and deliver insights rather than just reports. You will rely on your skills as an excellent communicator to collaborate with stakeholders across Product, Engineering, Sales, Operations, and Growth, while using your strong technical skills to interface with Senior and Staff engineers to ensure product compatibility with Data Analytics best practices. Additionally, you will utilize your problem-solving abilities to troubleshoot performance issues, guarantee all analytics meet SLAs, and evangelize Data Analytics and Data Engineering best practices to help build a best-in-class Data Warehouse platform.

What you'll do
  • Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value
  • Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights
  • Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features
  • Translate complex data findings into clear, compelling stories for both technical and non-technical audiences
  • Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams
  • Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance
  • Establish best practices and guidelines for data quality, privacy, and access control
  • Identify opportunities to improve the analytics platform's performance and report usage
  • Collaborate with engineering teams to define service level agreements (SLAs) for data products
  • Mentor and guide junior members of the data team
What we're looking for
  • Bachelor's degree in a STEM field or equivalent
  • 6+ years of experience in an Analytics or Business Intelligence role
  • 4+ years of experience performing complex data analysis and demonstrating mastery with SQL
  • 4+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool
  • 2+ years of experience using dbt and Snowflake
  • Possess expertise in relational and dimensional database structures, principles, and best practices
  • Demonstrate a proven ability to collaborate with Data Engineering teams to architect a data platform
  • Exhibit experience working in Agile SCRUM teams
  • Display strong project management and independent work skills
  • Bring excitement to working in a fast-paced, dynamic startup environment
Our Stack
  • Languages + Frameworks: Java, JavaEE, SpringBoot, JavaScript, JQuery
  • Datastores: MySQL
  • Cloud: AWS
  • Version Control: Git & Github

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $000,000.00 USD to $000,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite