Top Senior Level Data & Analytics Jobs in Portland, OR

The Senior Issues Management Analyst manages a pipeline of issues and process improvements, performing root cause analysis, proposing solutions, and ensuring timely resolution. Responsibilities include documenting issues, facilitating meetings with stakeholders, and partnering with business owners to remediate issues while maintaining compliance and mitigating risks.

The Senior Pricing Analyst will analyze and develop pricing strategies for digital solutions, collaborating with sales, finance, and marketing teams. Responsibilities include conducting market research, creating pricing models, optimizing profitability, and monitoring pricing performance across the CHEP North America organization.

As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.

As a Senior ETL Data Engineer, you will develop and maintain ETL processes using Informatica PowerCenter, perform data analysis, support data warehouses, and collaborate with users to enhance data delivery for financial operations.

The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.

As a Data Analyst, you will analyze and optimize digital customer journeys, focusing on enhancing user experience on federal government websites. Responsibilities include building analytical models, utilizing advanced analytics, and performing data engineering tasks to support a federal client in the Baltimore-Washington area.

The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.