Top Remote Analysis Reporting Jobs in Portland, OR

Build and maintain reliable data pipelines, Airflow DAGs, and Snowflake-based Data Vault/warehouse models. Implement CI/CD, automated testing, observability, and production support while partnering with stakeholders and developing insurance domain expertise.

The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

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

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.

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.

The Search Intelligence Manager will analyze SEO and website performance data, provide actionable insights, optimize content strategies, and support cross-functional teams in search initiatives at Autodesk.

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.

Design and implement scalable data pipelines and orchestration on GCP to support AI/ML-driven mail intelligence. Build stream and batch processing, ensure data governance and quality, optimize workflows, create visualizations, and collaborate with US cross-functional teams to align technical strategy and recover from failures.

Design, build, and maintain scalable cloud-native data pipelines, microservices, and AI-driven orchestration. Develop Python APIs (Flask/FastAPI), implement advanced SQL transformations (BigQuery), integrate LLMs/agents for automated workflows, and collaborate with Data Science and Product to deliver production-grade, observable, and secure AI-enabled data solutions.