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Senior Insurance Data Analytics Jobs in Oregon (NOW HIRING)

Indeed

Senior Insurance Analyst

Portland, OR · On-site

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

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Under Armour

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Origami Risk LLC

(Senior) Corporate Data Analyst

$67K - $101K/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 ...

Fuze Health

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 ...

Instacart

Senior Data Analyst

OR · Remote

$85K - $108K/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 ...

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial ...

NetBrain

OR · On-site

$130K - $155K/yr

What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy, Data ... Intentionally leverage AI to automate analytics, surface insights, and streamline GTM workflows ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... We offer a full benefits package, including medical, dental, vision, life insurance, disability ...

ICI Services

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

Montefiore

Senior Data Architect

Odell, OR · On-site

$69 - $92.25/hr

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 9 AM-5:30 PM Scheduled ... The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal ...

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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?

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 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.

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 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 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 cities in Oregon are hiring for Senior Insurance Data Analytics jobs? Cities in Oregon with the most Senior Insurance Data Analytics job openings:
Senior Insurance Data Analytics jobs near you

Insurance Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 27 days ago

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 involvesconsolidating information from claims, policies, exposures, and historicalloss records; performing data quality checks; identifying inconsistenciesor gaps; and preparing structured datasets aligned with Riskonnect's datamapping and upload requirements.
  • The contractor will leverageadvanced Excel skills-including complex formulas, data cleansingtechniques, pivot tables, and data validation tools-to efficientlytransform and audit large datasets prior to migration.
  • They will collaborate closelywith internal stakeholders and the implementation team to ensure accuratedata 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 afast-moving implementation environment are essential.

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