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Remote Insurance Data Analytics Jobs in Vancouver, WA

Chord Strategy

Full-stack Data Engineer (Remote)

Vancouver, WA · Remote

$119K - $144K/yr

  • Medical

  • PTO

What structure and format should we load the data for analysis? * What reports and visual best communicate the insight? * Is our data accurate and timely? Toolkit? We don't believe in hiring based on ...

Initio Capital

SaaS Product Analyst

Portland, OR · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

New

DataAnnotation

Treasury Analyst - AI Trainer

Gresham, OR · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Vancouver, WA

Remote Insurance Data Analytics information

See Vancouver, WA salary details

$25

$57

$98

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

As of Aug 14, 2026, the average hourly pay for remote insurance data analytics in Vancouver, WA is $57.32, according to ZipRecruiter salary data. Most workers in this role earn between $46.06 and $64.95 per hour, depending on experience, location, and employer.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do remote insurance data analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.

What are the most commonly searched types of Insurance Data Analytics jobs in Vancouver, WA?

The most popular types of Insurance Data Analytics jobs in Vancouver, WA are:

What are popular job titles related to Remote Insurance Data Analytics jobs in Vancouver, WA?

For Remote Insurance Data Analytics jobs in Vancouver, WA, the most frequently searched job titles are:

What job categories do people searching Remote Insurance Data Analytics jobs in Vancouver, WA look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Vancouver, WA are:

What cities near Vancouver, WA are hiring for Remote Insurance Data Analytics jobs?

Cities near Vancouver, WA with the most Remote Insurance Data Analytics job openings:

Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Vancouver, WA as of August 2026, with employment types broken down into 4% Internship, 68% Full Time, 13% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,221 per year, or $57.3 per hour.

Full-stack Data Engineer (Remote)

Chord Strategy

Vancouver, WA • Remote

$119K - $144K/yr

Full-time

Medical, PTO

Re-posted 19 days ago

Job description

The Battle of Giants exists to answer a simple but important question: Will a company’s strategy lead to growth?


Why? We do this to help investors and corporate execs assess a company’s growth potential and ability to innovate. Critical to survival in this disruptive age. Our ultimate goal is to help organizations design effective strategies collaboratively. Strategies their teams take part in building and naturally rally behind. But we can’t do that without first diagnosing how well a strategy will perform - step 1. Does our mission align with yours?


What’s your role? As a Data Engineer, you will help design, improve and maintain our ETL processes. Without which we could not perform our investigations. You’ll help find reliable and efficient ways to extract data on what companies are investing in from both public and private sources. More specifically, you’ll help us solve these problems:


  • How can we reliably and efficiently scrape and pull data from hundreds of websites and APIs?

  • Are there better datasets available to assess what a company’s investing in?

  • How can we improve data features used by our machine learning algorithm?

  • What structure and format should we load the data for analysis?

  • What reports and visual best communicate the insight?

  • Is our data accurate and timely?

Toolkit? We don’t believe in hiring based on tools you have experienced with. We’re much more interested in people who can find the root cause of a problem, and research/learn the best tool to help solve that problem. Does that sound like you? Tools we currently use include Python/NLTK, SQL, Tableau, but we are more than willing to drop them if you identify more effective toolkits.


What should you expect? This job is NOT for those who struggle with ambiguity, need constant guidance, and say yes without asking why. We seek a leader, not a follower. Someone not afraid to speak up and stand up for the right ideas. That’s because you will work directly with the leadership team and help shape the long-term outlook for The Battle of Giants. Do you enjoy getting outside your comfort zone? Do you naturally question assumptions, investigate root cause of problems, and think outside the box?


What benefits are offered? We strongly believe in smelling the roses along the journey. It’s going to be a long and challenging journey. We thus offer supplemental health coverage, 4 weeks paid time off, unlimited sick days, and the opportunity to design your own workstation/computer setup. We also encourage you to take Friday to work on something different and think outside the box: Volunteer, create art, build something useful for the community. Just don’t do what you do Monday to Thursday.


What happens after you apply? We will shortlist candidates we believe will be most successful in this role, and send along a quick exercise as the next step. This helps you get a sense of the day to day work. And it also helps us understand how you think. There will be multiple ways to complete the exercise, so don’t worry about finding an ideal solution. Do what you would normally do, using the tools you’re familiar with. We just want to learn about you!

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