Top Senior Level Data & Analytics Jobs in Portland, OR
The Enablement and Analytics Manager will lead a team of product analysts, oversee capacity planning, and drive efficiencies across personal lines offerings. Responsibilities also include mentoring analysts, collaborating with P&L leaders, and championing operational initiatives to streamline processes and enhance productivity.
As a Senior Game Data Analyst, you will collaborate with stakeholders to translate business goals into actionable analytics tasks, optimize data pipelines, engage in quality assurance, and implement innovative solutions to enhance player experiences.
The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.
This role involves managing the data and analytics program for Revenue Cycle Optimization, leading strategic initiatives, performing financial performance analysis, ensuring accountability for ROI outcomes, preparing performance reports, and training team members on analytics tools and methodologies.
The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.
The Senior Data Scientist at OneDigital is responsible for developing new models and tools for client projects related to health benefits strategies. They will work on data visualization, web application development, and providing R&D support for model enhancements. The role requires a Bachelor's/Master's degree in a relevant quantitative discipline and 4+ years of experience in data science or related fields.
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
The Data Scientist - Architect will design, develop, test, and support scalable machine learning solutions using Azure tools. Responsibilities include leading technical discussions with clients, assisting with pre-sales activities, elevating team talent through coaching, and identifying opportunities for Azure solution architecture in client accounts.
As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.
The SAP FI-CO Analyst will provide operational support, enhancements, and improvements for the Web-based Supply Chain Management project, ensuring compliance with financial business processes. Responsibilities include SAP configuration, solution design, proof of concepts, and collaboration with business and technical teams.
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