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Assistant Insurance Data Analytics Jobs in Oregon

OR ยท 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 ...

OR ยท On-site

$86K - $107K/yr

Join us! As a Data & Analytics Specialist, you will support the development, execution, and ... Utilize AI tools such as ChatGPT, Claude, and similar platforms to assist in summarizing insights ...

Technical Architect - Data, Analytics & AI

Bend, OR ยท Hybrid

$67.50 - $87/hr

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap ... insurance coverage, an employee wellness program, life and disability insurance, 401k match ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code). * Skilled ...

Experience in healthcare, pharmacy, or insurance data (claims, eligibility, payment flows). * Exposure to CDC pipelines and cloud-based ETL/ELT processes. * Python for analytical automation or ...

... Data Analytics & Reporting Location:Remote FLSA Classification: Exempt- Salaried Employment Class ... * Assist with other budget reporting activities as directed. Routine reports or documents to be ...

OR ยท On-site

Not just through analytics, but by helping shape the future of our mobile equipment strategy across ... - Assist in building business cases for equipment refreshes and technology upgrades - Provide ...

Not just through analytics, but by helping shape the future of our mobile equipment strategy across ... - Assist in building business cases for equipment refreshes and technology upgrades - Provide ...

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Assistant Insurance Data Analytics information

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

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

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 Assistant Insurance Data Analytics jobs? Cities in Oregon with the most Assistant Insurance Data Analytics job openings:

Contractor

Posted 5 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 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.