Top Senior Analysis Reporting Jobs in Portland, OR

The role involves managing actuarial modeling for Retirement Plans, ensuring quality of outputs, overseeing BAU execution, and training junior staff.

The Senior Data Architect partners with teams to optimize data models, ensures data alignment with business requirements, and enhances data governance practices.

Lead end-to-end delivery of a global Customer Master MDM platform: design data models, match/merge and survivorship rules, build integrations with CRM/ERP/billing, hire and mentor engineers, and partner with Data Governance to ensure scalable, high-performance Customer 360 capabilities.

The Data Analyst will engage with Supply Chain teams to analyze data needs and deliver analytics solutions, supporting product lifecycle using agile methodologies. Key responsibilities include defining business requirements, ensuring solution value, and maintaining strong stakeholder communication.

Serve as the technical lead for Employee Listening: design, program, deploy surveys; build dashboards and data workflows; manage SQL-based pipelines and org hierarchies; ensure data accuracy and QA; partner with cross-functional teams to scale Qualtrics EX solutions and improve platform capabilities.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Lead enterprise data platform strategy and architecture, define data standards and governance, drive Snowflake maturity, oversee legacy data migrations, design ingestion and DataOps patterns, and enable analytics, reporting, AI, and reusable data products across the organization.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.