Top Data & Analytics Jobs in Portland, OR

Lead design and implementation of data architecture, ETL/ELT pipelines, data models, warehouses and lakes. Ensure data governance, security, cloud deployments, performance and cost optimization. Coach and manage team members, partner with stakeholders, and drive data-driven solutions for clients.

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.

The role involves designing, developing, and testing reports using SQL and SSRS to support business initiatives and performance management.

Perform data analysis to identify bottlenecks and optimization opportunities using SQL, statistical methods, Power BI, Excel, and Disco. Collect and validate data from internal warehouses, document workflows, lead analytics projects, manage progress in Azure DevOps, and communicate findings to stakeholders with actionable reports.

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.

Serve as data steward for Aftermarket data: assess and improve data quality, define metrics, run audits, communicate business impact, and coordinate remediation across teams.

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.

Administer SQL databases and maintain accurate Crystal Reports and SSRS reporting. Investigate data discrepancies across reports, stored procedures, and source tables; optimize queries and database performance; manage backups, restores, indexing, integrity, security, and scalability. Collaborate with the existing DBA to document processes and preserve knowledge. Support audit-ready data solutions aligned with SOC 2, CMMC, and ISO 27001 requirements.

Designs and applies statistical models, regression and multivariate analyses, predictive models, dashboards, and visualizations to convert complex data into actionable business insights. The Statistician supports cross-functional teams, ensures data quality and integrity, researches statistical and machine learning methods, consults on experimental design, and communicates findings to technical and business stakeholders to optimize products, services, processes, and growth opportunities.

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.