Top Hybrid Data & Analytics Jobs

The Azure Cloud Engineer will implement, manage, and optimize Azure cloud infrastructure, develop IaC templates, maintain CI/CD pipelines, and ensure system reliability and security compliance.

The Associate Manager will lead the implementation of Master Data Management systems, manage client projects, coordinate with data vendors, and provide mentorship and insights to optimize commercial operations for life sciences companies.

As a Data Scientist, you will analyze customer behavior to drive growth and retention, build attribution models, and automate reporting. Responsibilities include working with large datasets and cross-functional teams to synthesize customer signals into actionable insights.

Join a 3-month immersive program to work on automation and data engineering projects, with mentorship and potential for a full-time role.

Lead the delivery of commercial data programs to enhance sales performance, collaborating with stakeholders to drive analytics initiatives and ensure data quality.

The Data Operations Sr. Manager leads data operations by managing daily workflows, improving data quality, and collaborating with teams to deliver data solutions. Responsibilities include troubleshooting issues, automating processes, and coaching the operations team while ensuring compliance with healthcare data standards.

The Analytics Engineer will build and optimize data systems, analyze catalog performance, and collaborate across teams to enhance decision-making processes.

As the Distinguished Architect, you will lead the design and implementation of CloudZero's next-generation data platform, focusing on streaming architecture, data modeling, and optimizing query engines to enhance cost attribution and performance at scale.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Sr Manager, Operations Analytics & Reporting leads analytics and reporting functions, develops insights into operational performance, and directs forecasting and planning initiatives to improve decision-making processes across consumer lending and customer service operations.