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

Kaiser Aluminium

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

High deductible medical, dental, vision, and basic life insurance, including spouse and children ... Tuition reimbursement. The Metallurgical/Data Scientist is responsible for analysis, design ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA

$85K - $150K/yr

High deductible medical, dental, vision, and basic life insurance, including spouse and children ... Tuition reimbursement. The Metallurgical/Data Scientist is responsible for analysis, design ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

High deductible medical, dental, vision, and basic life insurance, including spouse and children ... Tuition reimbursement. The Metallurgical/Data Scientist is responsible for analysis, design ...

STCU

Senior Credit Portfolio Analyst

Liberty Lake, WA · On-site

$6K - $9K/mo

Medical, dental, vision and life insurance Training and career development Success sharing plan ... Qualifications Education Bachelor's degree in business, finance, data analytics, or related field ...

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

Insurance Data Analytics information

See Spokane, WA salary details

$24

$55

$95

How much do insurance data analytics jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for insurance data analytics in Spokane, WA is $55.36, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $62.69 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 Spokane, WA? The most popular types of Insurance Data Analytics jobs in Spokane, WA are:
What are popular job titles related to Insurance Data Analytics jobs in Spokane, WA? For Insurance Data Analytics jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Spokane, WA look for? The top searched job categories for Insurance Data Analytics jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Insurance Data Analytics jobs? Cities near Spokane, WA with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you

Metallurgical Engineer

Kaiser Aluminium

Spokane, WA • On-site

$85K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for aMetallurgical Data Scientistto join the Kaiser Aluminum onsite team in Spokane Washington with a background in aluminum manufacturing, physical/mechanical metallurgy and Finite Element Analysis!

Must be a USA person (identified as US Citizen, US Permanent Resident (Green Card), any individual who is granted status as a "protected person" under 8 U.S.C. 1324b(a)(3).

Benefits

  • Salary range $85,000 to $150,000 commensurate with experience.
  • High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions).
  • 10 paid holidays per year.
  • Vacation (3 weeks starting out).
  • Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave).
  • 401K with matching company funds.
  • Quarterly bonus structure.
  • Tuition reimbursement.

The Metallurgical/Data Scientist is responsible for analysis, design, testing and implementation of existing and new applications and integrations. The ideal candidate will be a strong technical resource with the ability to understand, learn and master many different diverse technologies used across the enterprise, work with minimal supervision, and has ability to work closely with the business and technical resources.

What you will work on:

  • Conduct the low cost and high quality product and process improvement and optimization through the combination of advanced data analytics and ICME (Integrated Computational Material Science).
  • Monitor, evaluate, and apply the advanced computing technologies and algorithms for the most sophistic data analytics to uncover insights and hidden variables, identify root causes and patterns, forecast outcomes, and provide data-drive solutions.
  • Production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling development and applications.
  • Develop general and challenge specific predictive modeling capabilities by using commercially available software and/or internal computational codes.
  • Design and development of alloys and processes for Aluminum products through advanced data analytics and ICME.
  • Provide guidance and mentorship supports for different levels of data analytics including the principle and limits of different analytical algorithms.
  • Provide support for Industry 4.0 initiatives.
  • Develop, define, and complete on-time assigned research & development chartered projects.
  • Support plant projects as directed.
  • Write technical reports summarizing work as well as presentations to peers on progress at continuous improvement meetings.
  • Perform metallurgical and structural analysis of aluminum products.
  • Work in cross-functional teams to develop process and production improvements.
  • 5S of assigned areas.

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