Top Data & Analytics Jobs in Portland, OR

Design, develop, and maintain scalable enterprise ETL/ELT pipelines using Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL. Integrate and transform data across enterprise sources, optimize performance, implement data quality and reliability improvements, and manage workflows with Azure Data Factory or Airflow. Apply cloud, data modeling, warehousing, Git, CI/CD, and DevOps practices while collaborating with cross-functional teams to deliver modern data solutions.

Leads the design and implementation of business intelligence products, including dashboards, reports, analytical tools, automated data pipelines, and integrations. Performs exploratory analysis, data modeling, visualization, and data governance to convert complex datasets into actionable business recommendations. Partners with business and client stakeholders to define analytics roadmaps, communicate technical concepts, and embed standardized data products within the organization.

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.

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

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.

Lead the master data management function, set data standards and governance, manage MDM analysts, ensure data quality across item/vendor/pricing/location domains, partner with cross-functional teams, support system implementations and migrations, and drive continuous improvement in retail data processes.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.