Top Senior Data & Analytics Jobs in Portland, OR

Leverage advanced analytics, data manipulation, visualization, statistical modeling, predictive analytics, and machine learning to generate client insights and recommendations. Apply Adobe Experience Cloud solutions to support business transformation and strategic decision-making. Build client relationships, manage and inspire teams, navigate complex engagements, uphold professional standards, and deliver quality outcomes while developing technical and consulting expertise.

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.

Develop and optimize Oracle Fusion Data Intelligence analytics, reporting, semantic models, data integrations, and augmentation solutions. The role supports Oracle ERP, HCM, and SCM data, including OTBI, BI Publisher, ODI, ETL, SQL, and PL/SQL development. Responsibilities include requirements gathering, data cleansing and validation, cross-functional collaboration, and contributing to an ERP analytics roadmap. This is an onsite role in Des Moines, Las Vegas, or Portland, with an initial 3–4 month W2 engagement.

Leads complex product quality and supply chain analyses across product creation, materials, manufacturing, testing, consumer feedback, and marketplace performance. Develops dashboards, KPIs, governance practices, and scalable reporting; investigates systemic risks and root causes; applies automation and AI-enabled tools; and translates findings into recommendations for cross-functional leaders. Partners with Product Integrity, Engineering, Manufacturing, Supply Chain, Technology, and Analytics teams to improve quality, reduce defects, and strengthen decision-making.

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.

Design, build, and operate scalable batch and streaming data pipelines and analytics-ready data products on modern cloud platforms. Develop ETL/ELT processes, data models, monitoring, quality controls, metadata management, and governance workflows. Implement CI/CD and infrastructure-as-code practices, contribute to AI-enabled automation, and help ensure data assets are trusted, auditable, secure, and suitable for analytics and AI initiatives.

Transforms complex business data into actionable insights for product roadmap and strategic decisions. Responsibilities include data gathering, cleaning, analysis, visualization, dashboard development, strategic intelligence, business requirements gathering, and BI tool development. The role collaborates with cross-functional stakeholders, presents insights to leadership, and supports improved business practices through data storytelling and quantitative analysis.

Leads prospect development strategy, donor identification, portfolio management, fundraising analytics, and prospect research for comprehensive fundraising campaigns. Partners with advancement leaders and frontline fundraisers to identify and qualify major, principal, and planned-gift prospects. Produces profiles, briefings, relationship maps, and strategic analyses; trains fundraising staff; establishes prospect management policies; and ensures ethical and privacy compliance. May supervise staff and supports data-driven fundraising growth.

Build and maintain modern data-centric applications, pipelines, transformations, enrichment processes, provisioning layers, and user interfaces supporting clinical and operational healthcare processes. Analyze clinical data and report trends using cloud, big data, data science, and modern software development practices. Collaborate with Product, Platform, and Architecture teams, mentor Data Engineers, document solutions, manage source control, and research emerging technologies.