Top Analysis Reporting Jobs in Portland, OR

The Business Analyst collaborates with teams to identify needs, gather requirements, improve operations, and ensure IT solutions align with business objectives, especially within the healthcare industry.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Lead operational, strategic, and analytical initiatives to improve alerts, data coverage, and AI model ROI. Conduct R&D and data analysis, build algorithmic data streams, collaborate with cross-functional teams, and present strategic insights to inform decision-making.

The Operations Research Analyst will develop optimization models, perform data analysis, and integrate solutions into existing operations, collaborating with engineering and operations teams.

The Insights Analyst transforms complex data into actionable insights for clients, collaborating with teams to enhance content performance and marketing strategies through data analysis and visualization.

The Clinical Data Manager oversees clinical trial databases, creates documentation, reviews data, trains staff, and ensures compliance with regulatory standards.

The Sr. Analyst, Financial prepares and analyzes participation profit share statements, compiles transactional data, interprets contracts, reviews profitability, and communicates with internal and external partners.

The CJA Pod Lead/Technical Architect will lead the migration of Adobe Analytics to Customer Journey Analytics, ensuring accurate recreation of analytics logic and reporting structures. Responsibilities include guiding teams, overseeing data validation, and collaborating with stakeholders to optimize analytics environments.

The Senior Data Analyst conducts analysis on IVR interaction data and call performance metrics, collaborating with developers and architects to optimize IVR operations.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.