Job Description
About the Role:
Grade Level (for internal use):
05
The Role: The Agile Program Management Office Data Analytics & Reporting Intern will support the consistent execution of portfolio and project management practices within S&P Global Energy by gathering, documenting, and reporting operational data and analytics.
Responsibilities:
- Able to do research on AI tools and deep dive existing AI tools capabilities and utilities to develop AI agents.
- Research and learn best practices for operating and facilitating meetings, ensuring that all sessions are productive and focused on achieving outcomes.
- Document existing data pipeline and analytics solution.
- Research best practices, document any instances where our solution is deviating, and draft suggested remediations to align with best practices.
- Work with internal business teams to gather and document requirements for new data pipelines, ETL processes, and Power BI reporting solutions.
- Assist the APMO team in managing daily supporting activities, ensuring that all tasks are completed efficiently and effectively.
- Contribute to the maintenance and updates of project management tools, ensuring that all team members have access to the latest information and resources.
- Analyze Power BI dashboards to provide insights and reports that aid in decision-making processes, enhancing the team's ability to track project progress and performance metrics.
- Support Power BI dashboards and reports that provide actionable insights for business decision-making, focusing on energy market data and operational metrics.
- Reflect on experiences and seek feedback to identify areas for personal and professional growth throughout the internship, aiming for continuous improvement in performance and skills.
- Use approved AI tools to accelerate the delivery of all responsibilities listed above.
What We're Looking For:
- Candidates that are currently pursuing a university degree in Business or STEM.
- Able commence your internship from 15th June to 21st August 2026.
- A proven willingness to learn, positive service attitude, and an ability to work in a fast-paced, high-demand work environment.
- Excellent communication and strong interpersonal skills are required.
- Strong administrative, organizational, analytical and technical skills and focused attention to detail.
- Experience with Microsoft PowerPoint, Excel, ADO, and Wiki and data visualization tools.
- Ability to multi-task when needed but also the preference and discipline to focus on a single task from start to finish.
Preferred but not required:
Experience with: Microsoft Fabric, Microsoft Power BI, Power Query, Python, Power BI, Confluence WIKI, AI, Microsoft Azure DevOps (ADO), Data Management, Pandas and similar libraries, ETL tools, data pipeline concepts, and semantic modeling
