Top Data & Analytics Jobs in Portland, OR

This role involves leading data architecture strategies, collaborating with stakeholders, and implementing advanced data technologies to drive business growth at PwC.

The Operations Analyst will manage entity compliance, monitor intellectual property, address consumer escalations, enhance compliance processes, conduct audits, and automate workflows using AI and technology.

The Associate Applied Data Scientist will ensure data accuracy, clean complex datasets, build machine learning models, and collaborate cross-functionally to drive data strategy.

Develop and support information system solutions, focusing on ETL/ELT processes, data modeling, and Business Intelligence projects. Collaborate with teams and train developers.

Assist in actuarial tasks, perform analytical reporting, collaborate with teams, manage projects, and develop methodologies based on health care data.

The candidate will design and implement data solutions for finance analytics, collaborate with teams, perform data analyses, and document technical processes to support financial decision-making.

The Senior Data Engineer will build analytics-driven data platforms for EDA datacenters, transforming observability data into usable datasets for analysis and insights, collaborating with cross-functional teams, and ensuring data quality and scalability.

The role involves performing data and technical analysis for resource planning, participating in corporate strategy development, and preparing reports that inform PGE's sustainable energy future.

This role involves supporting SOX compliance, SOC 2 reporting, and IT risk management while collaborating with internal teams to ensure regulatory compliance.

Support EDI production lines by troubleshooting, implementing solutions, and maintaining data interchange systems. Develop EDI communication standards and work with teams to resolve technical issues related to databases and servers.

The Senior Data Architect partners with teams to optimize data models, ensures data alignment with business requirements, and enhances data governance practices.