Top Data & Analytics Jobs in Portland, OR

The Pricing Analyst will enhance commercial analytics and pricing capabilities by developing tools to derive insights and collaborating with teams on pricing strategies and data management.

Lead market intelligence and competitive analysis for North America, inform sales/marketing and dealer strategy, manage vendor relationships, develop dashboards and presentations, drive system integrations, support AI adoption, and mentor team members.

The Business Insurance Analytics Manager will lead a team to analyze claims data, support client negotiations, and develop analytics strategies for client retention and growth.

As a Performance Integrity Analyst I, you will audit claims for accuracy, compile performance stats, and participate in quality improvement efforts. This role requires effective communication and teamwork to meet service level goals.

This role involves supporting SOX compliance, SOC 2 reporting, and IT risk management while collaborating with internal teams to ensure regulatory compliance.

The Senior Risk Adjustment Analyst optimizes risk adjustment data submissions, analyzes trends, develops reports, and collaborates with partners while ensuring compliance with regulations.

The EDI Systems Analyst II collaborates with business units to manage EDI requirements, analyze processes, ensure compliance, and communicate project priorities. They lead requirement gathering sessions and improve workflows while partnering with developers.

The Lead, Market Analytics is responsible for market measurement, analysis, providing insights on performance, and identifying growth opportunities for Nike Inc. This includes working with data sources, reporting tools, and driving integration of analytics across teams.

The Marketing Analytics Manager creates reports and analytical tools to derive insights for strategic growth across Reser's brand portfolio, collaborating with marketing and sales teams.

As a Senior Customer Operations Data Analyst, you will analyze customer support data to enhance decision-making, improve user experience, and drive insights across the Customer Support function.