Top Data & Analytics Jobs

As a Senior Data Engineer, you will support analytics for global infrastructure and cloud operations by developing data pipelines and SOT data solutions. Your role includes ingesting structured and unstructured datasets, leading data modeling, ensuring data integrity, automating ETL tasks, and providing SME guidance. You will collaborate with various teams, define KPIs, and manage analytics environments to drive operational performance while remaining engaged with industry best practices.

The Staff Supply Chain Analyst will analyze data to improve procurement, inventory management, capacity planning, and vendor performance. Responsibilities include building dashboards, leading automation projects, forecasting infrastructure needs, supporting financial reporting, and identifying risks. Strong analytical skills and proficiency in data tools are necessary for success in this role.

In this role, you will analyze and optimize cloud infrastructure costs, develop operational dashboards, conduct usage analysis, and provide recommendations for cost management. You will utilize advanced analytics and collaborate with cross-departmental teams to influence decision-making in cloud operations.

The Manager - Data and Analytics Support will lead a team responsible for business intelligence, ETL, and replication technology. This role includes managing daily support operations, ensuring adherence to SLAs, driving incident management, and implementing process improvements. The manager will collaborate with cross-functional teams and develop a comprehensive knowledge base for support activities.

In this role, you will develop AI and ML solutions to enhance enterprise services user experience and workflow efficiency, collaborating with a team to deliver high-quality software. You'll be responsible for end-to-end product development, from design to delivery, ensuring the solutions are scalable and accessible to all users.

The Sr Manager, Data Informatics Management (MDM) will partner with HQ IT and BI teams to enhance Data and Analytics delivery, manage projects, ensure high-quality deliverables, drive production issue resolutions, and lead team activities in an Agile/Scrum environment while maintaining strong customer satisfaction.

As a Staff Machine Learning Engineer, you will build AI/ML solutions for intelligent enterprise services, focusing on computer vision algorithms. You will collaborate with cross-functional teams to understand requirements and deliver high-quality code, improving model accuracy and efficiency while working with edge AI technologies and video data.