Top Data & Analytics Jobs in Portland, OR

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Perform data analysis and create visualizations and KPIs to support Service and Sales Support operations. Develop and maintain data pipelines and analytics products, integrate multiple data sources, generate ad hoc and standard reports, troubleshoot data ingestion and integrity issues, and collaborate cross-functionally to deliver actionable insights that improve operational efficiency.

Lead analytics and data storytelling for channel enablement, turning enterprise data into actionable insights, dashboards, and executive communications to drive sales productivity, growth, and improved client engagement. Partner cross-functionally to establish reporting frameworks, identify opportunities, and influence senior leaders to execute data-driven strategies.

Designs and delivers complex reporting and analytics by acquiring and integrating large datasets, performing deep analysis, identifying trends, and presenting actionable insights. Collaborates with business partners, measures results of recommendations, ensures compliance, and communicates findings to senior stakeholders to drive data-driven decisions.

Analyze large and unstructured datasets to identify patterns, develop data-gathering applications, build performance indicators, document requirements and procedures, optimize inventory and supply processes, and create visualizations and quantitative analyses to support decision making.

Design, implement and optimize high-volume ETL processes using Informatica. Develop and tune ETL jobs, perform unit/system testing and QA, document deliverables, troubleshoot/customize jobs, work with Oracle/SQL/UNIX/Shell scripting, support Cognos reporting, manage EME and multifile systems, and perform data cleansing and data quality processes.

Develop, maintain, test, and deploy WebFOCUS reports and parameter-driven charts/graphs. Perform SQL/database work, full application lifecycle tasks, post-production support, and collaborate with project managers to meet business requirements and deadlines.

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

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

Maintain and validate SKU and model-level product data across PLM and merchandising systems, ensure data completeness for market readiness, resolve data inconsistencies, create standards and documentation, partner cross-functionally to improve data integrity, and develop analytics and tooling (SQL/Python/Tableau/Power BI) to support assortment and reporting.