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Top Analytics Jobs in Seattle, WA
As a Senior GTM Systems Analyst, you will shape the systems strategy for marketing and sales functions, optimizing tools like Salesforce and BI tools. You'll lead projects, manage intake requests from stakeholders, build cross-functional relationships, and drive continuous improvement in GTM solutions to enhance customer satisfaction.
As a 2nd VP and Actuary, you'll direct interest rate and liquidity risk management, optimize ALM and capital analytics strategies, and drive economic capital planning while collaborating with various teams. This role focuses on strategic financial decision-making with a heavy emphasis on risk management and financial modeling within the organization.
The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
The Media Analyst will execute and optimize digital marketing campaigns across platforms like Google Ads and Meta. Responsibilities include campaign management, performance optimization through analysis, creating reports, aligning strategies with client goals, and data management. The ideal candidate is detail-oriented and eager to analyze data to drive results.
The Data Science Consultant will design new solutions using Databricks to meet business functional requirements, modify existing data models, define and verify test cases, build data models and reports, and coordinate with stakeholders to convert business needs into technical specifications.
In this role, you will manage Incorta's variable compensation plans by calculating payments, tracking quotas, distributing commission statements, and ensuring compliance with company policy. You will work closely with various teams to enhance processes and assist in transitioning to a commissions software tool, while also maintaining accurate and timely payments.
The Principal Data Scientist will lead the predictive analytics practice, focusing on deploying machine learning models for financial metrics and customer forecasts, collaborating across teams to enhance operational capabilities and model performance.
Key role in quantifying and communicating the value of Included Health to clients, translating data into actionable insights, collaborating with teams, and developing data models and analyses.
The GIS Analyst will provide technical expertise in GIS, create and maintain GIS database products, conduct analysis, support end-users, and ensure quality assurance of GIS applications. Responsibilities include developing documentation and conducting testing of GIS applications.
The Practice Director will lead the Data Engineering and AI/ML practice, managing customer engagements and focusing on Data Modernization. Responsibilities include strategic planning, team leadership, guidance on data solutions, and operational management while ensuring excellence and innovation in delivery.
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