Top Remote Analysis Reporting Jobs in Portland, OR

Lead and develop a team of partnership analysts to evaluate, optimize, and scale partner relationships. Design experiments, forecasting and ROI models, build reporting/dashboards, run cohort/funnel/retention analyses, own testing frameworks, and provide data-driven recommendations to cross-functional partners.

Develop and maintain operational BI dashboards and ETL workflows in Domo and Redshift, analyze claims data, validate datasets, provide actionable insights to stakeholders, and mentor other analysts.

Lead and manage institutional research activities: collect, analyze, validate, and report quantitative and qualitative data; support program/course reviews, accreditation, dashboards, and decision-making; supervise a team and manage ad-hoc and ongoing reporting and assessment projects.

Lead end-to-end quantitative research projects for assigned clients: scope, design surveys, define samples, analyze data, and deliver client-ready insights and recommendations. Serve as primary client contact, guide clients to full-service or DIY solutions on Numerator's platform, use AI-enabled tools responsibly, mentor analysts, support sales and consulting efforts, and manage multiple projects while protecting scope, quality, and timelines. Travel as required.

Lead design, implementation, and migration of the enterprise data warehouse from BigQuery to Databricks. Build scalable ETL/ELT pipelines, data models, governance, quality monitoring, and performance optimizations while partnering with cross-functional teams and mentoring colleagues.

Lead and manage institutional research activities: supervise staff, collect and analyze quantitative and qualitative data, produce reports and dashboards, support program/course reviews, accreditation, survey design, and provide data-driven recommendations to inform institutional planning and continuous improvement.

Design, build, and maintain scalable batch and streaming data pipelines, improve data modeling and governance, contribute to enterprise data architecture, and collaborate with cross-functional teams to ensure reliable, high-quality data for analytics and operational use.

Build, operate, and optimize large-scale data pipelines and warehouse schemas. Own Airflow orchestration, AWS-based data security (Lake Formation), automated data quality, and production incident resolution. Partner with stakeholders, mentor engineers, and drive DataOps best practices for performance, cost efficiency, and governance.

Client-facing solution architect leading Azure data platform pre-sales: discovery, solution design, scoping, and SOW/proposal development. Architect modern data platforms (Fabric, Synapse, Databricks, ADLS), integration/orchestration (ADF, pipelines, CDC), data modeling, governance, security, and AI/GenAI enablement. Partner with sales and Microsoft for co-sell pursuits, lead workshops, and guide delivery teams to implement governed, production-grade data foundations that enable analytics and responsible AI at scale.

Provide operational support for enterprise analytics platforms (Databricks, Azure, SQL Server). Manage user access and governance, troubleshoot platform and data issues, document processes and data flows, enable users for self-service analytics, coordinate with engineering/infrastructure/security teams, and help optimize cloud costs and platform reliability.