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.

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.

Build GCP data pipelines, ETL/ELT processes, integrations, data models, and analytics solutions. Support AI/ML development with Vertex AI and Gemini, including MLOps, prompt engineering, embeddings, and RAG experimentation. Participate in client requirements gathering, technical implementation, data governance, quality, security, monitoring, and documentation while collaborating with senior engineers and architects.

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.

Analyzes wholesale sales, sell-through, inventory, and order data to identify trends and opportunities across accounts. Supports weekly available-to-sell order processes, recommends additional orders, maintains Excel and Power BI reporting, and improves data organization and team processes. Collaborates with Sales and cross-functional partners while developing skills in retail analytics, inventory planning, account management, data quality, and business communication.

Architects, deploys, and operates large-scale Kafka and Confluent streaming platforms. Responsibilities include cluster sizing, configuration, security, automation, observability, HA/DR, troubleshooting, developer enablement, and production reliability. Partners with application and cross-functional teams, translates requirements into scalable solutions, contributes to code and design reviews, and mentors junior engineers. Requires deep Kafka expertise, DevOps/SRE practices, infrastructure-as-code experience, and strong communication skills.

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.

Provides leadership for digital scholarship, data-intensive research, and quantitative-focused library liaison services. Supports data discovery, curation, preservation, metadata, data literacy, privacy, and ethical data use. Oversees electronic thesis submissions, develops workflows and research guides, supports digital collections and scholarly communication initiatives, teaches information literacy, advises on responsible AI, and manages research collections. Collaborates with faculty, students, library staff, and campus data teams across disciplines.

Collect field-based geospatial data using LiDAR and 360-degree mapping systems across California. Configure, calibrate, and operate drone-, vehicle-, or pedestrian-based LiDAR equipment, ensuring accurate data capture. Candidates must provide a qualifying LiDAR system, have surveying or geospatial collection experience, and be able to travel or temporarily relocate within California. Fuel and accommodation expenses are covered.