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Remote Insurance Data Analytics Jobs in Redmond, WA

Tipton Agency

Remote Insurance Broker

Seattle, WA · Remote

$60K - $200K/yr

Strong analytical and critical thinking skills * Excellent communication and interpersonal ... No prior experience in the insurance industry or underwriting principles required * Strong ...

Laird Norton Wetherby

Senior Data Architect

Seattle, WA · On-site +1

$76.50 - $102.50/hr

Seattle, WA or San Francisco, CA, Remote (Full-time; Partially Remote or Remote) We are seeking a ... Reporting & Analytics Platforms * Maintain and optimize reporting infrastructure including Power BI ...

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and ... Write and optimize SQL queries and stored procedures for data transformation and analysis.

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Remote Insurance Data Analytics information

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$27

$61

$105

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

As of Jul 17, 2026, the average hourly pay for remote insurance data analytics in Redmond, WA is $61.31, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $69.47 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, and why are they important?

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 popular job titles related to Remote Insurance Data Analytics jobs in Redmond, WA? For Remote Insurance Data Analytics jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Redmond, WA look for? The top searched job categories for Remote Insurance Data Analytics jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Remote Insurance Data Analytics jobs? Cities near Redmond, WA with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Data Analyst (Remote)

Data Analyst (Remote)

NAVA Software Solutions

Seattle, WA • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

NAVA Software solutions is looking for a Data Analyst
Details:
Data Analyst
Location: Remote project
Duration: 6-12 months
Responsibilities
  • Deep data and business analyses to deliver insights and learning
  • Define, develop, and monitor key performance metrics and analytic data
  • Ensure metrics are both simple to understand and easy to use in driving the business
  • Define, automate, and deliver core reporting as a tool for presenting results and aid in storytelling
  • Collaborate closely with Data Engineering and Data Sciences teams to incorporate their expertise into projects that address prioritized business needs
  • Provide thought leadership
  • Deep data/business analysis capabilities and creative thinking with demonstrated ability to work in ambiguous situations

Skills:
  • Strong Data Analysis experience
  • Ability to do causal analysis
  • If Bing experience is not there It would be ok (as first 2 requirements are more imp)
  • C# knowledge is essential
  • Story Tellers from data
  • Ability to write Cosmos Scripts
  • Ability to write C# code/scripts
  • Data Mining
  • Working knowledge of Visual Studio
  • Previous experience with Microsoft preferred
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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