Top Entry Level Analysis Reporting Jobs in Portland, OR

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

The Solutions Associate will support Zeta's Data Cloud team by managing client inquiries, enhancing operational processes, and driving product insights to improve client satisfaction and growth.

The role involves leveraging analytical expertise to improve supply chain performance, monitor business health, and provide actionable insights through data analysis and collaboration across teams.

Accurately enter, verify, maintain, and organize data in company systems. Perform data validation, quality control, reporting, and support data-related projects while collaborating with colleagues to resolve discrepancies.

Evaluate Indonesian educational videos for pedagogical quality and alignment with grade-level standards. Map learning objectives to localized search terms, tag and categorize content, perform QA audits, and help standardize evaluation frameworks. Work remotely to manage high-volume data tasks and provide written rationales for tagging decisions.

As a Data Curation Specialist, you'll collaborate with teams to source, create, and label data for AI systems, specifically for security models.

The Accounts Payable Coordinator handles vendor invoices, matching them to purchase orders, and calculates payment terms while providing customer service.

The Actuarial Analyst I analyzes data to support key initiatives, calculates profitability, evaluates health reimbursement processes, and participates in efficiency improvement initiatives.

This entry-level Data Engineer role involves translating business questions into data insights using semantic analytics and AI-driven workflows, transitioning from customer-facing responsibilities to backend system optimization.

The Catastrophe Modeling Analyst supports catastrophe modeling, data analysis, and communication, preparing exposure data and interpreting model results to provide insights for clients. Responsibilities include monthly modeling, dashboard development, stakeholder communication, and contributing to team growth.