Top Senior Analysis Reporting Jobs in Portland, OR

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Leads LiDAR workflows for engineering projects, including scope review, workflow design, resource setup, staff training, subcontractor coordination, benchmarking, and final QA/QC. Produces LiDAR-derived products using ArcMap, MicroStation, and TerraSolid while improving processes, managing multiple projects, and ensuring deliverables meet client requirements.

Designs and builds modern data applications, pipelines, transformations, enrichment processes, provisioning layers, and interfaces supporting clinical and operational healthcare processes. Analyzes clinical data to identify trends, collaborates with Product, Platform, and Architecture teams, mentors junior data engineers, and evaluates emerging technologies. The role emphasizes cloud computing, big data, data science, modern development frameworks, source control, documentation, and repeatable engineering practices.

Supports Finance data governance initiatives by defining standards, documenting requirements, analyzing data quality, managing data-related issues, and coordinating Finance, Data, and Technology stakeholders to improve consistency, transparency, controls, and decision-making.

Leads Columbia’s North America Commercial Analytics function, unifying reporting, metrics, data sources, and decision-making across wholesale, DTC, marketing, merchandising, and consumer insights. Builds analytics capabilities, operating rhythms, and high-performing teams while translating commercial, consumer, market, and financial data into growth and profitability recommendations. Partners with technology teams on analytics platforms and champions AI-enabled decision support. Advises executive leadership through strategic analysis and fact-based insights.

Leads the design and implementation of business intelligence products, including dashboards, reports, analytical tools, automated data pipelines, and integrations. Performs exploratory analysis, data modeling, visualization, and data governance to convert complex datasets into actionable business recommendations. Partners with business and client stakeholders to define analytics roadmaps, communicate technical concepts, and embed standardized data products within the organization.

Lead KEEN's enterprise data and analytics strategy and SAP S/4HANA readiness. Build scalable data architecture, governance, and AI enablement. Prioritize high-impact analytics and AI use cases across merchandising, DTC, wholesale, supply chain, and finance. Hire and develop data architects, engineers, and analysts, and advise executive leadership to drive measurable business outcomes.