Top Senior Level Data & Analytics Jobs in Portland, OR
The Senior Research Analyst is responsible for conducting investment research, including analyzing managers and performing various types of research to support portfolio management. They provide insights and recommendations based on complex data analysis, monitor performance, and create reports. The role requires close collaboration with Portfolio Managers and involves developing investment strategies and analyzing economic trends to inform decision-making.
The Senior Analytics Engineer will lead data transformation and presentation efforts, creating efficient SQL queries and dashboards. They will manage analytics data pipelines, drive new data initiatives, and implement best practices to optimize data models and reporting processes, collaborating closely with Business Analysts.
Senior Data Scientist role at OmniData in Portland. Responsibilities include building data science solutions, analyzing large data sets, developing statistical and ML models, improving decision-making processes, and implementing analytical models in production.
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As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.
As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.
As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.
The Treasury Quantitative Expert leads the development and execution of quantitative models for managing credit risk, interest rate risk, and liquidity. This role involves preparing and analyzing large datasets, implementing models in production, ensuring regulatory compliance, and mentoring less experienced analysts.
The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.
As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.
The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.
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