Top Hybrid Data & Analytics Jobs

Design and build scalable data infrastructure and pipelines using Azure Data Factory and Databricks. Implement data integration, transformation, modeling, and optimization. Validate data quality and security, collaborate with teams and clients, and contribute to client projects while developing technical skills and personal brand.

Develop and validate motorsports performance metrics and analysis methods using math, physics, vehicle dynamics, and data science. Prototype and test solutions against track data, collaborate with GM Software and Performance Engineers, and implement tools into the production analysis toolchain to improve on-track performance.

Support Film & TV Studios analytics by partnering with stakeholders and engineering to analyze large datasets, build scalable dashboards and self-service BI, write advanced SQL, ensure data quality and pipeline readiness, and communicate insights. Drive adoption of enterprise analytics, contribute to forecasting, audience insights, experimentation, and ML-enabled use cases across marketing, distribution, finance, and business development.

Lead client-facing analytics engagements during new community deployments. Scope technical requirements, build and maintain secure bi-directional data pipelines, and develop custom analyses, data models, and dashboards to deliver measurable client value within the first 3–6 months. Coordinate between clients, operations, and data architecture teams; travel up to 25% for on-site work.

The Senior Analyst, Analytics & Metrics will develop automated reporting solutions, analyze large datasets, improve business operations through dashboards, and partner with teams for scalable solutions.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

As an Analyst in Technology Value Realization, you'll connect technology investments to business outcomes, track metrics, and guide investment decisions through data-driven insights.

The Staff Data Engineer will design and build data pipelines, reports, and tooling for the Concepts Lab, ensuring reliable AI systems and leading data modeling and analytics efforts. The role requires extensive experience in production data systems and collaboration across teams to transition concepts into production.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

As a Senior Data Engineer, you will manage data integration, optimize performance, mentor junior engineers, and collaborate with product teams on innovative solutions in healthcare data modeling.