Top Senior Data & Analytics Jobs in Portland, OR

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.

Lead analytics workstreams to extract insights from large datasets, build dashboards and predictive models, manage project planning and delivery, mentor teams, and collaborate with stakeholders to implement data-driven solutions and maintain data integrity.

Senior Business Data Analyst supporting supply chain master data: manage and analyze master data, build and maintain relational tables and reports, use MS Access/Excel/SQL/VBA and reporting tools to support Supply Chain systems and operations.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

Design and implement GCP data modernization, analytics, and AI solutions. Build ETL/ELT pipelines, perform BigQuery modeling and optimization, support Vertex AI and GenAI development, enable MLOps, implement data governance, and collaborate with clients and senior architects to deliver production analytics and AI products.

Lead administration and modernization of on-prem MS SQL Server environments and cloud platforms (Azure, Snowflake). Manage backups, performance tuning, security, ETL/SSIS, and BI platform support (Tableau, Power BI, SSRS). Mentor staff, migrate BI data to Snowflake, install patches, and support high-availability and recovery planning.

Design and develop scalable data solutions and tooling to enable AI and advanced analytics across Azure hardware and software stacks. Identify opportunities for AI-driven impact, build data platforms and visualizations, and collaborate with engineers, data scientists, and program managers to improve efficiency, quality, and operational insights.

Design, build, and maintain ETL/ELT pipelines and API integrations to ingest, cleanse, transform, and analyze infrastructure and cloud data. Produce analytics, dashboards, and executive reports; automate workflows and support near-real-time processing. Follow SDLC/DevOps practices (Git, CI/CD), ensure data governance, quality, lineage, and support incident, release, and compliance activities.

Architect, build and maintain data warehouse and ETL processes consolidating transactional and tool data. Develop SharePoint BI and web applications, create SSIS packages and stored procedures, extend ETL/SQL and application code, troubleshoot data import/presentation issues, and create small apps to grow BI deliverables for other groups.

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.