Top Data & Analytics Jobs in Portland, OR

Leads data analysis and advanced analytics workstreams for clients, using statistical modeling, machine learning, data visualization, and Adobe Experience Cloud technologies to improve operations and strategic decision-making. Manages project planning, budgeting, execution, and completion while mentoring teams, maintaining data integrity and security, building Tableau and Power BI dashboards, identifying business opportunities, and integrating innovative analytics practices.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Build and optimize real-time and batch data pipelines, integrations, data warehouses, ETL processes, and reconciliation systems. Develop complex SQL queries, APIs, analytic reports, and data tools while supporting production pipelines and troubleshooting data integrity issues. Partner with architects, analysts, developers, and cross-functional teams to improve data reliability, quality, scalability, and accessibility across cloud and on-premises environments.

Leads Operations Technical Services strategy and manages 4–6 analysts and programmer analysts. Oversees reporting, dashboards, data marts, extracts, applications, ETL controls, data architecture, stewardship, data quality, and BI solutions. Partners with health plan operations stakeholders and IT to define requirements, automate analysis, ensure privacy compliance, resolve information-access issues, and deliver actionable insights across customer service, claims, membership, and provider operations.

Administer, secure, maintain, and optimize enterprise database environments, ensuring performance, availability, integrity, backup, and recovery. Partner with application, infrastructure, and business teams to support reliable database operations. Conduct research and reporting, and participate in data-deliverable design and testing. The role is approximately 80% development and 20% analytical work.

Leads Autodesk’s global marketing data strategy and analytics organization, establishing measurement, attribution, experimentation, marketing mix modeling, predictive analytics, and AI-enabled decisioning capabilities. Defines marketing data foundations, governance, taxonomies, and identity frameworks while partnering with Marketing, Sales, Data Science, Engineering, and AI/ML teams. Translates complex analysis into executive recommendations that improve marketing effectiveness, investment allocation, customer outcomes, and commercial performance. Manages and develops a global team of data strategists and analysts.

Leads analysis of infrastructure, platform, operational, and service data to identify performance trends, risks, capacity constraints, and optimization opportunities. Develops reliability, availability, performance, and capacity KPIs; performs anomaly detection and root-cause analysis; and supports infrastructure modernization decisions. Builds scalable analytics solutions using SQL, Python, Alteryx, APIs, and Power BI while partnering with engineering, operations, SRE, architecture, and technology leadership teams.

Leads client-facing custom market research projects in the financial services sector, managing studies from proposal development and survey design through fieldwork, data processing, analysis, reporting, and presentation. Oversees timelines, client communications, cross-functional teams, and project outcomes while troubleshooting operational issues. Requires strong quantitative research expertise, advanced marketing science knowledge, survey programming understanding, report-writing ability, and vendor-side experience.

Supports the development and maintenance of data pipelines, ETL processes, data models, dashboards, and data quality routines. Collaborates with analysts and stakeholders to define requirements, validate data, document workflows, and improve analytics processes. The role provides entry-level exposure to SQL, Python, business intelligence tools, data governance, and analytics engineering best practices.

Supports wholesale account analysis by reviewing sales, sell-through, inventory, and available-to-sell data. Identifies ordering opportunities, maintains weekly order processes, creates reports in Excel and Power BI, and improves data organization and documentation. Collaborates with Sales and cross-functional partners while developing recommendations, monitoring data quality, and supporting process improvements in a wholesale retail environment.