Top Data & Analytics Jobs in Portland, OR

Leads the design, development, governance, and productization of enterprise data models, pipelines, data products, and ontologies. Builds machine-learning-ready datasets, implements security and lineage controls, optimizes Databricks and Delta Lake environments, establishes data-product standards, collaborates with architects and data scientists, and mentors engineering talent. The role also defines product roadmaps, service levels, usage metrics, and continuous-improvement processes for enterprise data assets supporting AI agents, analytics, and applications.

Supports aftermarket supply chain analytics for new part introductions and end-of-life decisions. Uses data modeling, reporting tools, databases, and business analysis to recommend parts, improve availability, and increase revenue and vehicle uptime. Coordinates projects between IT and supply chain teams, maintains reporting systems and workflows, manages part lifecycle data, supports SAP-Paragon material loads, develops KPIs, and facilitates process improvements using lean and TOS methods.

Analytics Engineer Intern supporting KEEN’s migration from legacy SAP to SAP S/4HANA. Responsibilities include mapping data structures, writing SQL reconciliation queries across Snowflake and SQL Server, investigating discrepancies, reviewing Power BI dependencies, documenting data lineage and business logic, contributing to dbt models and data quality tests, and presenting findings. The role is onsite in Portland, Oregon, runs for 10 weeks, and provides hands-on experience with modern data platforms.

Supports habitat and conservation programs through environmental data stewardship, GIS analysis, spatial dataset development, mapping, dashboards, StoryMaps, reporting, and science communication. The role develops data standards, metadata, QA/QC procedures, analytical workflows, and web-based GIS products while coordinating with government, Tribal, academic, nonprofit, and restoration partners. It also provides technical guidance, maintains data catalogs and repositories, and translates habitat and restoration information for technical and public audiences.

Build and maintain large-scale data pipelines and analytics platforms for EDA datacenter observability, telemetry, reliability analysis, and capacity forecasting. Develop batch and streaming workflows, data models, quality frameworks, monitoring, and retention strategies using metrics, logs, traces, and hardware health data. Partner with observability engineers, data scientists, analysts, and infrastructure teams to deliver scalable, reliable, discoverable datasets for analytical and predictive use cases.

Performs database and data quality testing for large datasets, including validating imports, transformations, extracts, migrations, stored procedures, triggers, and queries. Develops SQL-based test cases, investigates discrepancies, documents defects, verifies fixes, and assesses data integrity. Reviews requirements, creates test plans, supports ETL testing, communicates results, and collaborates with data engineers, QA professionals, business analysts, and project managers.

Transforms fraud and risk data into actionable insights for detection, investigation, recovery, mitigation, and audit readiness. Builds governed Databricks datasets and pipelines, integrates cross-channel data, analyzes fraud exposure and model performance, develops dashboards, and supports regulatory requests. Partners with Fraud Operations, Risk, Technology, and senior leaders to operationalize vendor machine-learning outputs and improve data quality, governance, and risk decision-making.

Leads a team of Operations Analysts delivering dashboards, reporting, governed datasets, process improvements, and actionable insights across Global Operations. Establishes priorities, standards, and accountability while integrating AI, automation, and predictive analytics into operational workflows. Partners with cross-functional stakeholders to identify use cases, improve data quality, manage change, and support executive decision-making across supply chain, manufacturing, logistics, and semiconductor operations.

Manages gift and pledge records, receipting, matching gifts, database imports, data appends, reconciliations, audits, scholarship data, and constituent records. Ensures compliance with university, IRS, state, and federal requirements while maintaining data integrity across fundraising and related systems. Provides cross-functional Advancement Operations coverage, supports reporting and integrations, and may supervise student assistants. The role is hybrid in the Portland metro area with occasional regional travel and occasional evening or weekend work.

Develop and optimize Oracle Fusion Data Intelligence analytics, reporting, semantic models, data integrations, and augmentation solutions. The role supports Oracle ERP, HCM, and SCM data, including OTBI, BI Publisher, ODI, ETL, SQL, and PL/SQL development. Responsibilities include requirements gathering, data cleansing and validation, cross-functional collaboration, and contributing to an ERP analytics roadmap. This is an onsite role in Des Moines, Las Vegas, or Portland, with an initial 3–4 month W2 engagement.