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

Banner Bank

BI Data Engineer

Spokane, WA · On-site

$88K - $116K/yr

... analytics tools (Required). * Experience in banking, financial services, or insurance environments is helpful (Preferred). What helps you shine * You bring strong expertise in database systems, data ...

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 ...

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 · 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 ...

DataAnnotation

Treasury Analyst - AI Trainer

Spokane, WA · Remote

$50 - $100/hr

... and Insurance Planning. Advantages of contracting with us: * You'll be able to choose which ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enterprise

Entegral Financial Analyst

Spokane, WA · On-site +1

$36.15 - $43.41/hr

... repair shops, insurance providers and other industry professionals around the world. Owned by ... Experience in data pipelines, SQL, machine learning and visualization * Interpreting analytics and ...

Enterprise

Entegral Financial Analyst

Spokane, WA · On-site

$75K - $90K/yr

... repair shops, insurance providers and other industry professionals around the world. Owned by ... Experience in data pipelines, SQL, machine learning and visualization * Interpreting analytics and ...

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Insurance Data Analytics information

See Spokane, WA salary details

$24

$55

$95

How much do insurance data analytics jobs pay per hour?

As of Aug 6, 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 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.

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?

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 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
Infographic showing various Insurance Data Analytics job openings in Spokane, WA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $115,140 per year, or $55.4 per hour.

BI Data Engineer

Banner Bank

Spokane, WA • On-site

$88K - $116K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Banner Bank rating

8.7

Company rating: 8.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

23rd of 170 rated banks

Job description

More than 135 years ago, we started with core values that never go out of style: listen, learn and help businesses and individuals reach their goals. These core values shape our culture, and we were recently Great Place to Work Certified because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the Best 100 Banks in America for the ninth consecutive year.

With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations.

As a BI Data Engineer, you'll play a critical role in turning data into meaningful insights that help drive smart, confident business decisions. You'll work across teams to build, maintain, and continuously improve our enterprise data warehouse and business intelligence environment. This role blends technical expertise with collaboration, curiosity, and a real-world impact on how our teams use data every day.
In this role you'll
  • Design, develop, and maintain scalable BI solutions including databases, data warehouses, queries, views, reports, and dashboards.
  • Collect, organize, and analyze data from multiple internal and external sources to answer business questions and improve key business metrics.
  • Build and maintain ETL processes, data pipelines, and integrations that ensure reliable and timely data availability.
  • Partner closely with end users, BI Data Analysts, and software development teams to translate business needs into effective data solutions.
  • Support the integration of BI and analytics platforms with enterprise applications and systems.
  • Monitor, troubleshoot, and optimize BI tools, data loads, and production processes to ensure performance and data accuracy.
  • Ensure data quality, consistency, and governance standards are met, including maintaining metadata repositories.
  • Provide production support, communicate issues and resolutions to customers, and assist with ad hoc reporting needs.
  • Develop training materials and deliver end-user training on BI tools and reports.
  • Contribute to research and evaluation of new BI technologies and partner with Architects to recommend improvements and new solutions.
  • Create efficient, automated, and well-documented processes that comply with security, regulatory, and policy requirements.
 
What we're looking for
  • You have a Bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required).
  • An equivalent combination of education and experience can be considered in lieu of a degree.
  • You have 4+ years of related technical experience, including 3+ years working with large-scale datasets, databases, ETL, and analytics tools (Required).
  • Experience in banking, financial services, or insurance environments is helpful (Preferred).
What helps you shine
  • You bring strong expertise in database systems, data warehousing, data modeling, and data integration techniques.
  • You're comfortable working with Microsoft SQL Server tools, including SSIS, SSAS, SSRS, Power BI, Fabric, and Synapse pipelines.
  • You enjoy solving complex problems using SQL, DAX, MDX, C#, Python, and dimensional modeling techniques.
  • You have a sharp analytical mindset and enjoy turning raw data into reliable, actionable insights.
  • You communicate clearly and collaborate easily, whether you're working independently or as part of a cross-functional team.
  • You're curious and proactive about learning new technologies and continuously improving BI systems and processes.
 
Travel
  • 10%
Our Company Values
  • Do the right thing
  • Mutual respect
  • Teamwork
  • Accountability
 
What Our Team Says
"I have the opportunity to learn and grow every day in my current role. I love the work life balance, knowing that we work hard, and strive for high performance but we are celebrated."
Compensation & Benefits
  • Targeted starting salary range (based on experience): $88,657-116,819
  • Annual incentive potential
  • Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
  • Paid vacation time, sick time and 11 company paid holidays
  • 401k (with up to 4% match)
  • Tuition reimbursement
 
Review Banner's employee benefits at: Employee Benefits | Banner Bank

Please take time to review Banner Bank's Consent & Privacy notice before applying.

Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability or protected veteran status.

Banner Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings. Resumes submitted to any Banner Bank employee by a third-party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Banner Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.
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