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Entry Level Insurance Data Analytics Jobs in Seattle, WA

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Data Analyst (Multiple Positions)

Seattle, WA · On-site

$163 - $228/hr

... Data Analytics, Statistics, Mathematics or a related field and 1 year of related work experience ... Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with ...

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All JobsInsurance Data Analytics JobsEntry Level Insurance Data Analytics JobsEntry Level Insurance Data Analytics Jobs in Seattle, WA

Entry Level Insurance Data Analytics information

See Seattle, WA salary details

$27

$62

$107

How much do entry level insurance data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for entry level 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 an entry level insurance data analytics job?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.

What are the key skills and qualifications needed to thrive as an entry level insurance data analytics professional?

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What are some common challenges faced by entry level insurance data analytics professionals, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What does an entry level insurance data analyst do in insurance?

An entry level insurance data analyst collects, organizes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to improve underwriting processes and pricing strategies.

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 Entry Level Insurance Data Analytics jobs in Seattle, WA?

For Entry Level Insurance Data Analytics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Insurance Data Analytics jobs in Seattle, WA look for?

The top searched job categories for Entry Level Insurance Data Analytics jobs in Seattle, WA are:

Entry Level Insurance Data Analytics jobs near you
Infographic showing various Entry Level Insurance Data Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $129,591 per year, or $62.3 per hour.

AI Applications & Data Analytics Lead

Granite

Everett, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago

Granite Telecommunications rating

7.3

Company rating: 7.3 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

54th of 101 rated telecommunications companies

Job description

Building a career at Granite may be the most valuable thing you could do...

Find your dream job today, and be part of something great. Our most powerful partnership is the one we have with our employees. Our people are our most valued asset and the foundation of Granite's century-old success. We're building more than infrastructure; we are building your future.

General Summary

The AI Applications & Data Analytics Lead is responsible for building and scaling practical AI and data solutions that drive measurable improvements in safety, production, cost, and performance across construction materials operations.
This role serves as the bridge between field operations and technology-turning operational data into actionable intelligence and deploying AI-enabled applications that improve decision-making, automate workflows, and enhance productivity.
The position combines hands-on development capability with business leadership-owning the identification, prioritization, and execution of AI and analytics use cases across plants, sales, and support functions.Essential Job Accountabilities

Design, develop, and maintain AIenabled applications supporting aggregate and asphalt plant operations and sales. Develop and implement machine learning and advanced analytics models to optimize production, pricing, plant uptime, and cost performance. Optimize product pricing with sales data including pricing and GIS data. Integrate AI solutions with existing operational software, plant systems, sensors, and databases. Enhance sales efficiency through the use of AI and bots to review specifications, Enhance and modernize legacy software systems through automation, predictive analytics, and decisionsupport tools. Build and maintain data pipelines, APIs, and services enabling realtime and nearrealtime operational insights. Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence. Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions. Ensure AI solutions align with cybersecurity standards, company policies, and responsible AI practices. Document systems, models, and processes to support longterm sustainability and user adoption. Continuously evaluate emerging AI and software technologies relevant to construction materials

Education
  • Bachelor's Degree in artificial intelligence, computer science, data science, mathematics, or related quantitative fields. Equivalent practical experience may be considered for candidates with a strong portfolio.

Work Experience

  • Minimum of two (2) years of professional experience in software development, data analytics, AI or machine learning implementation.
  • Experience delivering productionready apps, and software solutions in operational or industrial environments.
  • Strong data analytics skills.
  • Experience working with databases, analytics platforms, and modern application architecture.
Knowledge, skills, and abilities
  • Experience in aggregate, asphalt, construction materials, mining, sales or manufacturing operations.
  • Familiarity with plant control systems, sales and production data.
  • Experience with predictive maintenance, quality analytics, or process optimization.
  • Strong communication skills and ability to work with nontechnical stakeholders.
  • Applied artificial intelligence and machine learning
  • Industrial software development and systems integration
  • Datadriven problem solving
  • Operational and sales mindset focused on safety, quality, and efficiency
  • Collaborative and partnership mindset.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is required to walk uneven and steep ground to access property for the purpose of interacting with operations and sales employees. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Additional Requirements/Skills
  • Abide by Granite's Code of Conduct on a daily basis
  • Valid driver's license and ability to drive for extended periods of time
  • Overnight travel required

Our Benefits at a Glance:

Building tomorrow starts with you, and Granite knows that you can excel only if we support you in and out of the workplace. That is why we offer a broad benefits package that includes paid holidays, sick leave, medical, dental, vision, life insurance, disability insurance, flexible spending plans, as well as special programs for musculoskeletal health, mental wellness, and more.

Salaried employees may choose from two PPO medical plans through Anthem BlueCross, including our most popular plan, for which 100% of the premium is paid by Granite for eligible employees and dependents. Employees can also opt into a Health Savings Account (HSA) or a Flexible Spending Account (FSA).

As part of our investment in your future outside of the workplace, Granite provides a 100% match on the first 6% of eligible compensation that salaried employees defer into their 401(k) plans, which vests immediately.

Benefits may vary for positions located outside of the continental United States.

Base Salary Range:

$95,753.00 - $175,018.00

Pay may vary based upon relevant experience, skills, location, and education among other factors.

About Granite Construction Incorporated

Granite Construction Incorporated is a member of the S&P 400 Index and is the parent company of Granite Construction Company, one of the nation's largest heavy civil contractors and construction materials producers. Granite is a Drug-Free Workplace and Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, or any other protected characteristic.We consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.

For additional information on applicant/employee rights please clickhere.

Notice to Staffing Agencies

Granite Construction, Inc. and its subsidiaries ("Granite") will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Granite, including unsolicited resumes sent to a Granite mailing address, fax machine or email address, directly to Granite employees, or to Granite's resume database will be considered Granite property. Granite will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.Granite will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.Agencies must obtain advance written approval from Granite's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening.Granite will not pay a fee to any Agency that does not have such agreement in place.Agency agreements will only be valid if in writing and signed by Granite's Human Resources Representative or his/ her designee. No other Granite employee is authorized to bind Granite to any agreement regarding the placement of candidates by Agencies.

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