Top Data & Analytics Jobs in Portland, OR

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.

Design, build, optimize, and modernize enterprise Microsoft data platforms (Azure, Fabric). Develop ETL/ELT pipelines, data warehouses/lakehouses, implement governance, security, DevOps/CI-CD, and support Power BI and AI initiatives while consulting with stakeholders.

Gather business requirements and design, build, and deploy reports and dashboards using Microsoft BI tools. Develop ETL processes, design and implement SSAS cubes, optimize queries, validate data accuracy, support Dynamics AX reporting, and assist Salesforce Marketing Cloud queries. Act as analyst, architect, report developer, SQL programmer, visualization designer, and trainer.

Design, develop, and maintain complex database systems. Write and optimize SQL, perform backups, updates, performance tuning, indexing, and troubleshooting. Diagnose hardware/software issues, develop monitoring tools, document database structures, support cross-functional projects, and provide technical support and training.

Lead a team to design and deliver enterprise data management, ETL, reporting, low-code apps, and automation solutions. Develop roadmaps, governance for data, reporting, automation and AI, partner across IT and business units, prioritize and deliver process improvements, and ensure scalable, secure analytics and automation practices.

Lead design, build, and maintain scalable data pipelines, warehouses, and analytics environments. Integrate diverse data sources, ensure data quality and security, define SLAs, perform ad-hoc data analysis, and collaborate with product and project teams to deliver BI and analytics solutions.

Provide strong Microsoft SQL Server DBA support and implementation for ServiceNow, including database administration, configuration, performance tuning, and deployment support.

Perform quantitative and unstructured data analysis, develop data-gathering applications, create SQL queries and visualizations, document business and functional requirements, establish KPIs, optimize inventory and supply metrics, and support process improvement and auditing activities.

Technical lead for data engineering who designs, builds, and owns scalable Snowflake ELT pipelines and data models. Mentors engineers, drives standards, optimizes performance and costs, and partners with product, analytics, QA, and governance to deliver observable, high-quality data solutions. Contributes to platform strategy, DataOps/CI/CD adoption, and ensures data quality, testing, and documentation.