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Internship Insurance Data Analytics Jobs in Seattle, WA

AI Applications & Data Analytics Lead

Everett, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

General Summary The AI Applications & Data Analytics Lead is responsible for building and scaling ... insurance, disability insurance, flexible spending plans, as well as special programs for ...

Data Engineer, WW Pricing - Data & Analytics

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Data Analyst

Auburn, WA · On-site

$70K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Data Analytics, Business, Marketing, Economics, or related field * 2-5+ years ... Life Insurance -- Peterson Company provides $25,000 in employer‑paid basic life insurance policy ...

... interns in the areas of natural language processing, natural language generation, and deep learning ... Your scope will reach from text classification problems over big data analytics to A/B testing and ...

Showing results 21-40

Internship Insurance Data Analytics information

See Seattle, WA salary details

$13

$25

$47

How much do internship insurance data analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship insurance data analytics in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

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

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an insurance data analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

What is an internship in insurance data analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.

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:

Infographic showing various Internship 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 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

AI Applications & Data Analytics Lead

Granite

Everett, WA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


Granite Telecommunications rating

7.3

Company rating: 7.3 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

52nd of 98 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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