Top Analysis Reporting Jobs in Portland, OR

Lead design, build, and maintain scalable data pipelines, warehouses, and analytics environments. Integrate diverse data sources, ensure data quality and security, define SLAs, perform ad-hoc data analysis, and collaborate with product and project teams to deliver BI and analytics solutions.

Provide strong Microsoft SQL Server DBA support and implementation for ServiceNow, including database administration, configuration, performance tuning, and deployment support.

Perform quantitative and unstructured data analysis, develop data-gathering applications, create SQL queries and visualizations, document business and functional requirements, establish KPIs, optimize inventory and supply metrics, and support process improvement and auditing activities.

Perform program and outcomes analyses for healthcare informatics using statistical and analytical tools. Extract, clean, aggregate, and visualize large datasets; develop dashboards, reports, and recommendations. Apply advanced analytics and policy knowledge to evaluate programs, guide decisions, and present findings to stakeholders. Collaborate cross-functionally and support testing, implementation, and training.

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.

Build and operate data-intensive web products and APIs, extend high-throughput ETL pipelines and scrapers, ensure reliability/observability, design self-scaling services, participate in code review, and collaborate across product, data, and infrastructure teams to meet production SLAs.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Own end-to-end analytics across marketing, revenue, product, and partnerships. Build reliable data models and semantic layers in a lakehouse, maintain dashboards and monitoring, investigate anomalies, conduct experimentation, and translate complex analyses into recommendations for senior stakeholders. The role requires advanced SQL, Python, data modeling, stakeholder communication, autonomy, and mentoring, with responsibility for improving data quality and building analytical standards in a high-growth startup.

Designs and develops enterprise cloud data solutions, including batch, near-real-time, and API-based pipelines. Builds data models, warehouses, lakes, and lakehouses while implementing governance, quality, lineage, and curation practices. Supports CI/CD, testing, monitoring, observability, security, and compliance. Collaborates with architects, product owners, analysts, and leadership on platform strategy and modernization. Mentors engineers, leads reviews, presents technical topics, and explores AI-enabled data capabilities.

Monitor news, media, social platforms, and events; prepare data for media analysis and reports; create Excel pivot tables, charts, and visualizations; write analytical insights; support research projects; and validate proprietary reputation-risk and stakeholder-view scoring. The intern will help deliver timely client alerts, briefings, and longer-term reports while collaborating with analysts and interpreting trends across business, culture, and politics.