Enterprise Data and Analytics

Position Summary:

The Enterprise Data & Analytics (EDA) team empowers the organization with secure, high-quality, and well-governed data to enable informed decisions and strategic outcomes. Leveraging reusable data platforms, the team drives data governance and self-service analytics, providing intuitive access to reliable information. With deep expertise in cloud-native architecture and modern development practices, we deliver secure, high-performance platforms. Operating in an Agile environment, team members collaborate across functions, share knowledge, and foster innovation. By working closely with business and technology leaders, we align data solutions with enterprise objectives while upholding robust architecture and governance standards.

The EDA team helps the company make smarter decisions by providing secure, high-quality data and modern analytics platforms. We work at the intersection of business and technology, building cloud-native solutions and improving how data is governed and used across the firm. As an intern, you’ll work on real, impactful projects like building data pipelines, improving data quality, or enhancing analytics tools while learning from experts and contributing to initiatives that support the entire organization.

An intern in this department can expect to learn:

By the end of the internship, an intern can expect to gain hands-on experience with modern data platforms, cloud technologies, and real-world analytics workflows. They’ll learn how high-quality, well-governed data is designed, managed, and delivered at an enterprise scale. Interns will also build skills in Agile teamwork, problem-solving, and collaborating with both technical and business partners. Most importantly, they’ll leave with a solid understanding of how data drives strategic decision-making within a global organization.

Key Responsibilities Can Include:

• The intern will support key initiatives across the Enterprise Data & Analytics team.
• Responsibilities may include assisting with data pipeline development, supporting data quality and governance efforts, helping analyze and organize datasets, updating documentation or dashboards, and collaborating with engineers and analysts on project tasks.
• Their work will contribute directly to improving the organization’s data and analytics capabilities.