Top Data & Analytics Jobs in Portland, OR

Leads applied AI and health data architecture initiatives for payer clients. Designs cloud-native platforms, pipelines, data models, integrations, and modernization roadmaps across AWS, Azure, Databricks, and Snowflake. Oversees data quality, governance, anonymization, performance optimization, and legacy migrations while advising stakeholders on AI-ready architectures. Manages multi-team delivery, resolves technical issues, presents solution tradeoffs, and coaches practitioners.

Leads advanced analytics, reporting, scalable data models, dashboards, and data pipelines supporting Business and Marketing teams. Partners with senior stakeholders and AI Engineering to implement AI and machine learning workflows, predictive insights, and automation. Develops documentation, drives analytics engineering best practices, and mentors team members. Requires strong SQL, Python, APIs, data modeling, stakeholder communication, project leadership, and blockchain expertise.

Build and deploy scalable data pipelines for ingestion, transformation, quality assurance, migration, and automated data consumption. Apply cloud, big data, DevOps, and CI/CD practices while developing data governance processes, quality rules, compliance policies, and stewardship workflows. Collaborate with business and BI teams to define requirements, document technical designs, and support finance-related data solutions. The role may require significant client travel.

Leads the design, development, migration, and deployment of scalable data pipelines and cloud data solutions. Establishes reusable ingestion, transformation, quality, governance, compliance, and orchestration processes. Partners with business and BI stakeholders to define data requirements, support financial and operational reporting, and enable AI use cases. Requires expertise in cloud and big data technologies, DevOps, CI/CD, data management, and governance, with preferred experience in Databricks, Snowflake, data warehousing, and finance-domain data.

Develops enterprise supply chain dashboards, scorecards, reports, data models, and business intelligence solutions using Oracle Fusion Data Intelligence and related platforms. Analyzes complex datasets, creates KPIs, validates data, supports governance, resolves reporting issues, and translates business needs into actionable insights. Partners with procurement, sourcing, inventory, warehouse, and supplier-management stakeholders; provides training and production support; and leads continuous improvement initiatives.

Performs complex risk adjustment and healthcare program analyses using statistical methods and data from multiple sources. Extracts, cleans, aggregates, and queries data; develops dashboards, reports, and presentations; evaluates programs and outcomes; identifies root causes; and recommends solutions. Partners with cross-functional stakeholders, applies healthcare and regulatory knowledge, leads projects, communicates findings to senior leaders, supports strategy and implementation, and mentors junior analysts.

Provides information systems analysis, application development, database administration, technical support, and GIS services for Sheriff's Office operations. Designs, tests, implements, and maintains applications, databases, queries, reports, scripts, and automated processes. Analyzes statistical, business, and spatial data; develops maps, visualizations, and geospatial applications; troubleshoots technical issues; and supports public safety planning, investigations, and resource deployment.

Owns monthly sales crediting, inforce, financial, and industry reporting for Employee Benefits. Reviews and reconciles data, investigates discrepancies, maintains legacy reporting tools, supports audits and testing, summarizes results for stakeholders, and partners with actuarial, sales operations, underwriting, billing, and IT teams. The role also improves reporting processes, documents business rules, and supports data warehouse enhancements.

Leads the design, development, and governance of scalable Databricks Lakehouse data products across Azure and AWS. Responsibilities include hands-on coding, code review, batch and streaming pipeline development, cross-cloud integration, data modeling, quality, lineage, security, CI/CD, observability, and technical direction across distributed engineering teams. The role partners with product, architecture, governance, and business stakeholders while supporting analytics, reporting, and AI use cases.

Leads manufacturing analytics and data systems initiatives for a polishing pads factory. Develops Power BI dashboards, KPI scorecards, automated analytical tools, data models, and reporting solutions using cloud platforms and manufacturing systems. Analyzes production and quality data, resolves data-quality and pipeline issues, supports automation improvements, and communicates insights to technical and business stakeholders. Partners cross-functionally on continuous improvement, data governance, digital transformation, and scalable analytics solutions.

Supports equipment engineering software activities through data analysis, documentation, project updates, request and issue tracking, and collaboration with technical and non-technical users. Requires foundational knowledge of Excel, relational databases, data structures, and SQL, with opportunities to work with enterprise software applications. The intern will work independently and in teams, follow information systems procedures, and work fully onsite for 20–40 hours per week while enrolled in college.