Top Senior Data & Analytics Jobs in Portland, OR

Lead architecture and delivery of master data management solutions, drive large projects, improve data quality and operations, design taxonomies, and mentor teams to achieve operational excellence and client satisfaction.

Designs and builds modern data applications, pipelines, transformations, enrichment processes, provisioning layers, and interfaces supporting clinical and operational healthcare processes. Analyzes clinical data to identify trends, collaborates with Product, Platform, and Architecture teams, mentors junior data engineers, and evaluates emerging technologies. The role emphasizes cloud computing, big data, data science, modern development frameworks, source control, documentation, and repeatable engineering practices.

Designs, develops, tests, and maintains reports, analytical models, programs, and documentation supporting health plan operations. Uses SQL, ETL, reporting, and database technologies to translate business requirements into data-driven solutions. Manages analytical workspaces, resolves cross-departmental issues, participates in peer reviews, and mentors team members and business partners.

Supports Finance data governance initiatives by defining standards, documenting requirements, analyzing data quality, managing data-related issues, and coordinating Finance, Data, and Technology stakeholders to improve consistency, transparency, controls, and decision-making.

Leads Columbia’s North America Commercial Analytics function, unifying reporting, metrics, data sources, and decision-making across wholesale, DTC, marketing, merchandising, and consumer insights. Builds analytics capabilities, operating rhythms, and high-performing teams while translating commercial, consumer, market, and financial data into growth and profitability recommendations. Partners with technology teams on analytics platforms and champions AI-enabled decision support. Advises executive leadership through strategic analysis and fact-based insights.

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.

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.