Top Hybrid Senior Level Data & Analytics Jobs

The Principal Data Scientist will analyze data to drive pricing strategies, enhance marketplace performance, and collaborate with cross-functional teams to design impactful experiments and dashboards.

The Data Engineer is responsible for building and maintaining optimized data pipelines, developing data platforms, and supporting data science initiatives while collaborating with various departments.

The Senior Data Architect will lead the design and implementation of data architectures, ensure data governance, and manage data quality across platforms.

The role involves leading statistical analyses to optimize strategies, automate reporting, and drive data-driven decision-making across growth initiatives.

Lead the Product Analytics & Data Science team, focusing on mentorship, stakeholder management, and executing data projects to drive insights and value.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead Business Intelligence and Analytics initiatives, mentor team members, develop dashboards, coordinate with business units, and drive strategic insights for long-term performance.

Lead marketing analytics strategy, perform data analysis, optimize marketing strategies, and provide insights to drive growth and ROI.

As a Senior Data Analyst, you'll automate data transformation, create visualizations, and enhance data quality while collaborating across teams to improve decision-making.

As a Solutions Architect, you'll drive the strategy and implementation of cloud-based Data Fabric and Data Mesh, enabling decentralized data ownership and collaboration across teams.