Top Senior Level Analytics Jobs in Seattle, WA

Develop dashboards and visualization tools for easy data accessibility and understanding by users. Lead dashboard design, collaborate with teams, update reporting dashboards, coordinate with data analysts, provide design support, and promote stakeholder collaboration. Requires advanced degree in life sciences or data sciences and 7+ years of experience in data analytics, dashboard development, and visualizations.

Drive the technical roadmap of Ad Marketplace and Pacing teams, design and implement machine learning models, collaborate with cross-functional teams, stay up-to-date with the latest technology, provide technical direction, and advocate for best practices.

As a Senior Manager in Data Analytics & Technologies in the Healthcare, Pharma & Life Sciences industry at PwC, you will lead teams in solving complex business issues using data analytics. Your responsibilities include aligning client data strategies with their business goals, assisting in platform selection and data migration to cloud environments, and fostering a collaborative and diverse team environment. You will also demonstrate thought leadership in building trusting relationships with stakeholders and driving business development efforts.

CrowdStrike is seeking a Sr. HRIS Analyst with deep functional knowledge of Workday Absence Management, Time Tracking, and Core HCM. The role involves building integrations, managing payroll interfaces, and deploying new programs around time & attendance.

Hiring a Business Systems Analyst to work on the roadmap for hardware business systems using Oracle fusion cloud stack. Responsibilities include building product features, establishing requirements, and working with tech teams. Remote position with focus on supply chain systems for hardware operations.

Seeking a Program Manager, Training to serve as the owner of the Data/AI learning portfolio, collaborating with internal and external subject matter experts to develop and manage training programs for upskilling needs in data management, analysis, and AI technologies.

Build and lead a team of data scientists to partner with marketing, sales, and product teams to optimize marketing strategies, grow revenue, and launch high-impact initiatives. Develop predictive models, automate reporting, analyze marketing performance, and drive data-informed decision-making for a SaaS company.