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Senior Insurance Data Analytics Jobs in Oregon (NOW HIRING)

Sr. Director, Data & Analytics

Portland, OR · On-site

$217.60K - $229.62K/yr

Job Summary The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEEN's data vision and transforming the organization into a truly data-driven and AI-enabled ...

Sr. Director, Data & Analytics

Portland, OR · On-site

$217.60K - $229.62K/yr

Job Summary The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEEN's data vision and transforming the organization into a truly data-driven and AI-enabled ...

Senior Data Analytics Engineer

OR · On-site +1

$130K - $175K/yr

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy.

Senior Data Analytics Engineer

OR · On-site +1

$130K - $175K/yr

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy.

The Data Analytics Senior Consultant I will develop, maintain, and continuously improve predictive models and operational forecasts for Claims demand and capacity, ensuring accurate and consistent ...

OR · Hybrid

At Shift, we build the most impactful products for insurers globally, leveraging data and agentic ... Proficiency in data analysis: Ability to find innovative ways to look at data and create useful ...

Junior or Senior standing preferred. * GPA of 3.0 or higher. * Strong SQL skills required - ability to write complex queries, joins, and perform data analysis. * Data analysis experience with Excel ...

About The Role As a Senior Data Engineer, you will play a key role in designing, building, and ... insurance data (Policy, Claims, Billing). * Collaborate with Business Analysts to translate ...

OR · On-site

... with senior operations or call center stakeholders as a primary analytical partner; owning the relationship, not supporting it. Proven ability to work with ambiguous or imperfect data environments ...

(Senior) Corporate Data Analyst

$67.80K - $101.70K/yr

Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics ... Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic ...

$85.90K - $108.40K/yr

Job Summary Aptive seeks a seasoned Senior Data Analyst to serve as a technical lead, transforming ... This role will lead data quality and analytics efforts in support of VA's EHRM Rapid Decision ...

OR · On-site

Communicate insights and new opportunities revealed through data analysis to senior management ... AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter ...

Senior Data Analyst

OR · Remote

$85.90K - $108.40K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

Data Analyst (remote)

OR · On-site +1

$70K - $80K/yr

... from senior staff. * Good working organizational skills and attention to detail and accuracy ... Data Analytics, or similar preferred. Arthrex Benefits * Medical, Dental and Vision Insurance

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Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a Senior Insurance Data Analytics professional, and why are they important?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by Senior Insurance Data Analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What does a Senior Insurance Data Analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

How much does a senior data analyst make at American Family Insurance?

A senior data analyst at American Family Insurance typically earns between $70,000 and $100,000 annually, depending on experience, location, and skills. Compensation may also include bonuses and benefits related to data analysis tools and insurance industry knowledge.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

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 Senior Insurance Data Analytics jobs in Oregon look for? The top searched job categories for Senior Insurance Data Analytics jobs in Oregon are:
What cities in Oregon are hiring for Senior Insurance Data Analytics jobs? Cities in Oregon with the most Senior Insurance Data Analytics job openings:
Infographic showing various Senior Insurance Data Analytics job openings in Oregon as of May 2026, with employment types broken down into 1% As Needed, 65% Full Time, 28% Part Time, and 6% Contract. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution.

Contractor

Posted 13 days ago


Job description

Job Description
Title: Insurance Data Analyst
Duration: 2 Months
Location: Portland, OR
Job Description
The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting.
Requirements
Responsibilities
  • This role involves consolidating information from claims, policies, exposures, and historical loss records; performing data quality checks; identifying inconsistencies or gaps; and preparing structured datasets aligned with Riskonnect's data mapping and upload requirements.
  • The contractor will leverage advanced Excel skills-including complex formulas, data cleansing techniques, pivot tables, and data validation tools-to efficiently transform and audit large datasets prior to migration.
  • They will collaborate closely with internal stakeholders and the implementation team to ensure accurate data migration, support user acceptance testing with analytical insights, and document data processes to enable smooth adoption of the new platform.
  • Clear communication, meticulous attention to detail, and the ability to work independently in a fast-moving implementation environment are essential.