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Insurance Data Analytics Jobs in Oregon (NOW HIRING)

Senior Analytics Engineer

OR ยท On-site +1

$135K - $188K/yr

The Role Senior Analytics Engineer The Analytics Engineering team owns how Pantheon's data becomes ... Comprehensive medical insurance including Health, Dental and Vision * Paid parental leave (plus ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

These models are informed by data-driven analysis of business performance and improvement ... Medical, Dental and Vision insurance for you and your family * Relax and recharge with Paid Time ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

These models are informed by data-driven analysis of business performance and improvement ... Medical, Dental and Vision insurance for you and your family * Relax and recharge with Paid Time ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

These models are informed by data-driven analysis of business performance and improvement ... Medical, Dental and Vision insurance for you and your family * Relax and recharge with Paid Time ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

These models are informed by data-driven analysis of business performance and improvement ... Medical, Dental and Vision insurance for you and your family * Relax and recharge with Paid Time ...

... Analyst II to join our Global Insurance & Risk Management team. In this role, you will drive ... You will leverage data-driven insights to proactively surface operational exposures, design ...

Senior Actuarial Analyst

OR ยท On-site +1

$70K - $126K/yr

You'll gain hands-on experience with VBC contract modeling, healthcare data analytics, financial ... pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus ...

Assistant Ship Manager

$120K - $135K/yr

SPG delivers industry-leading, innovative, and value-added services such as data analytics and ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

... tax, estate, insurance, and more, all managed by a single team. We deliver the kind of ... Analyze client segmentation and revenue data to identify trends, inform growth strategy, and ...

Senior Enterprise Performance Analyst

OR ยท On-site +1

$70K - $90K/yr

Minimum Experience: * 2+ years of relevant experience in data analytics, enterprise performance, or ... insurance plan options * Health Savings Account and Flexible Spending Accounts * Bi-weekly HSA ...

Sr. Data Operations Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Medical, Dental and Vision insurance for you and your family * Relax and recharge with Paid Time ...

Sr. Data Operations Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Medical, Dental and Vision insurance for you and your family * Relax and recharge with Paid Time ...

Sr. Data Operations Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Medical, Dental and Vision insurance for you and your family * Relax and recharge with Paid Time ...

Showing results 41-60

Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

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:

Infographic showing various Insurance Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 62% Full Time, 33% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Senior Analytics Engineer

Pantheon Systems, Inc

OR โ€ข On-site, Remote

$135K - $188K/yr

Full-time

Medical, Dental, Vision

Re-posted 6 days ago


Job description

About Pantheon

Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon's multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon's collaborative workflows.ย 

The Role

Senior Analytics Engineer

The Analytics Engineering team owns how Pantheon's data becomes trusted, self-serve insight - from the data models built on our raw source tables to the semantic layer the whole company consumes. Sitting close to the business (under Finance), you'll own a domain end-to-end and act as a partner who turns business questions into the right data models.

What You Need to Succeedย 

  • Own the analytics modeling lifecycle for a business domain (GTM / Lead-to-Customer or Post-Sales) - build and maintain dbt models and business marts on top of our source data in Snowflake.
  • Develop and maintain the semantic layer that powers our BI platform.
  • Partner directly with stakeholders across Finance, Sales, Marketing, CS, and RevOps to translate ambiguous business questions into the right model - prescribing or designing one when none exists.
  • Define, document, and enforce consistent metric definitions and segmentation across the org (e.g., customer lifecycle stages, production lifecycle, ARR), establishing whether each lives in dbt or the semantic layer so metrics aren't defined twice.
  • Build trustworthy self-serve data products so business partners can answer routine questions without help.
  • Collaborate with the Data Platform team where raw data is handed off - specify and request new sources, validate data, and raise quality issues upstream.

What You Bring to the Table

  • 6-8 years of overall experience in analytics, data engineering, or a related field, including at least 4 years specifically in analytics engineering.
  • Advanced SQL and hands-on experience with dbt or a comparable transformation framework (models, tests, documentation)
  • Cloud data warehouse experience, ideally Snowflake
  • BI / semantic-layer modeling experience, ideally Looker (LookML) or Omni
  • Strong dimensional/data-modeling fundamentals (Kimball design, star schema)
  • Proven ability to translate business questions into data models - strong business acumen and stakeholder communication
  • Comfortable with git and a modern analytics development workflow (branch-based PRs and code review)

Bonus Qualifications

  • SaaS finance fluency - ARR, MRR, NRR (especially valuable given we sit under Finance)
  • Depth in GTM/RevOps data (Salesforce) or post-sales/CS data (Zendesk), depending on the domain
  • Familiarity with AI- or natural-language-driven analytics
  • Exposure to orchestration (Airflow), reverse ETL, or working alongside data engineering
  • CI/CD for analytics code (e.g., dbt tests running on PRs via GitHub Actions)

What We Offer

We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team.

  • Industry competitive compensation and equity plan
  • Flexible time off, sick days, and 13 paid holidays
  • Comprehensive medical insurance including Health, Dental and Vision
  • Paid parental leave (plus fertility, adoption and other family planning benefits)
  • In-office workspace (San Francisco & Chicago)
  • Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development
  • Events and activities both team-based and company wide that inspire, educate and cultivate

Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment.

After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U.S. Department of Homeland Security.

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The US base salary range for this position in the United States is $135,000 - $188,000 USD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.