Top Senior Data & Analytics Jobs in Spokane, WA

The Global Head of Pricing will lead pricing functions, optimize margins, develop pricing models, and ensure accurate billing while partnering with multiple teams.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

The Senior Analyst will drive marketing strategies and performance optimization through advanced analytics, insights generation, and cross-functional partnerships, while mentoring junior team members.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

The Senior Biostatistician will lead statistical strategy for clinical trials, provide statistical analyses, collaborate across teams, and ensure compliance with regulatory standards.

Lead Yahoo's data organization, defining strategy and ensuring effective data infrastructure supporting AI-enhanced user products. Collaborate with cross-functional teams, mentor talent, and advocate for data-driven culture.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

The Senior Data Analyst - Operations develops analytics, creates dashboards, analyzes data, and partners with Operations leadership to drive improvements.

Lead the end-to-end data migration lifecycle for SAP transformation programs, ensure data accuracy and integrity, and provide mentorship.

The Senior SAP Analytics Cloud Consultant leads implementations, designs reporting solutions, collaborates with stakeholders, and optimizes data connectivity and performance for analytics. Responsibilities include user training and staying current with updates.

The Data Conversion Lead oversees data migration and validation processes, leading a team to ensure accuracy and performance in ETL and data pipeline development.