Top Remote Analysis Reporting Jobs in Portland, OR

The Fraud Intelligence Analyst investigates fraud cases, translates insights for product development, identifies fraud patterns, supports revenue workflows, and builds domain expertise through high-volume casework.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Staff Data Engineer designs and builds data platforms and pipelines, ensuring data integrity and collaboration across teams for analytics and reporting.

The Senior Data Analyst will develop SQL pipelines to automate workflows, create dashboards, analyze financial data, and support leadership with insights.

The Manager of Business Analysis & Forecasting will develop data-backed revenue models, perform advanced analytics, and collaborate with finance leaders to drive strategic insights and business growth.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

The Actuary will analyze ratemaking and customer data, lead regulatory filings, build models with GLM and machine learning, automate workflows with Python, and collaborate cross-functionally on product development in a remote environment.

The Director of Data & AI Alliances will develop strategic partnerships, drive joint go-to-market strategies, manage partner relationships, and lead initiatives that enhance revenue growth and partner engagement in data and AI ecosystems.

The Principal Marketing Analyst will enhance marketing strategies through data analysis, develop dashboards, manage data tables, and use AI for insights.

The Technical Data Manager will support NPI across product lines, manage data entry, and create Engineering Change Orders during product lifecycle.