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Remote Insurance Data Analytics Jobs in Oregon (NOW HIRING)

Work Location: Remote (US) with a strong preference for candidates willing to work a hybrid ... Full benefits including health care, paid time off, life insurance, and 401k plan with company ...

New

Senior Data Analyst - Financial Analytics

OR ยท On-site +1

$132K - $173K/yr

A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ... We offer a full benefits package, including medical, dental, vision, life insurance, disability ...

Lead Data Analyst

OR ยท On-site +1

$160K - $200K/yr

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Sr. Data Analyst - Finance

OR ยท On-site +1

$120K - $130K/yr

Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

Data Analyst

$52K - $80K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

New

The Director Enterprise Data will work closely with senior leadership, IT teams, data analysts, and ... Employees must provide their own reliable internet if working a remote/hybrid position * Ability to ...

The Director Enterprise Data will work closely with senior leadership, IT teams, data analysts, and ... Employees must provide their own reliable internet if working a remote/hybrid position * Ability to ...

Exposure to ML feature engineering or working alongside Data Science teams. * Background in a high-growth or scaling analytics environment. #LI-BG1 #LI-Remote

Sr. Data Engineer

OR ยท On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Data Scientist

OR ยท On-site +1

... Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment * Full remote flexibility. Working at SOSi All ...

Enterprise Performance Analytics Engineer

OR ยท On-site +1

$80K - $110K/yr

... data engineering intern, analytics engineer) How We Work Together * Location : Remote within the ... insurance plan options * Health Savings Account and Flexible Spending Accounts * Bi-weekly HSA ...

Revenue Analytics Associate

OR ยท On-site +1

$118K - $130K/yr

Manage end-to-end data analysis tasks, including data extraction, cleaning, analysis and ... Fully remote within the U.S. * Travel requirements: Up to 10% * Physical requirements: Must be able ...

Sr Data Analyst

$70K - $105K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Bachelor's Degree in Analytics, Computer Science or a related field. * 2+ years of job-related ...

New

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Commercial Data Analyst

OR ยท On-site +1

$95K - $120K/yr

US Remote Reports To: Director, Field Service - Business Systems & Reporting Salary Range: $95,000-$120,000 Position Summary: As a Commercial Data Analyst, your goal is to unlock insights that drive ...

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Remote Insurance Data Analytics information

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.

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.

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 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 are the most commonly searched types of Insurance Data Analytics jobs in Oregon?

The most popular types of Insurance Data Analytics jobs in Oregon are:

What job categories do people searching Remote Insurance Data Analytics jobs in Oregon look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Oregon are:

Infographic showing various Remote Insurance Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 11% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Healthcare Data and Analytics Specialist - Remote - USA

FullStack Labs

Salem, OR โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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