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- Tasks: Support data analytics and reporting for project management in a dynamic energy environment.
- Company: Join S&P Global Energy, a leader in energy market insights and analytics.
- Benefits: Enjoy health coverage, flexible time off, and continuous learning opportunities.
- Why this job: Gain hands-on experience with AI tools and data analytics in a fast-paced setting.
- Qualifications: Pursuing a degree in Business or STEM; strong communication and analytical skills required.
- Other info: Collaborative team culture with excellent career growth potential.
The predicted salary is between 500 - 1500 £ per month.
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 to 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, Confluence WIKI, AI, Microsoft Azure DevOps (ADO), Data Management, Pandas and similar libraries, ETL tools, data pipeline concepts, and semantic modeling.
What’s In It for You:
- Opportunity to learn and contribute to division-level analytics processes at S&P Global Energy, with exposure to a mix of industry-standard and cutting-edge technologies.
- Gain knowledge of agile & traditional project/program management, data engineering, business intelligence, analytical modeling, and the energy & commodities marketplace.
- Establish and cultivate relationships with team members to foster collaboration and open communication, contributing to a positive team environment.
The Future Career Opportunity:
While this internship doesn’t directly lead to a full-time position, it does make you a familiar and competitive applicant for any future positions.
About S&P Global Energy:
At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value.
Our Mission: Advancing Essential Intelligence.
Our Values: Integrity, Discovery, Partnership.
Benefits: We take care of you, so you can take care of business. Our benefits include health care coverage, generous time off, access to resources for career growth, competitive pay, retirement planning, and family-friendly perks.
Global Hiring and Opportunity at S&P Global: We are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions.
Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
APMO Data Analytics & Reporting - Summer Intern in London employer: S&P Global
Contact Detail:
S&P Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land APMO Data Analytics & Reporting - Summer Intern in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees at S&P Global Energy. Ask them about their experiences and any tips they might have for you. Building connections can give you insider knowledge and make you stand out.
✨Tip Number 2
Prepare for your interview by diving deep into the role. Familiarise yourself with data analytics, Power BI, and AI tools mentioned in the job description. Show us that you're not just interested but genuinely excited about what we do!
✨Tip Number 3
Practice your communication skills! Since strong interpersonal skills are key, try mock interviews with friends or family. Get comfortable discussing your experiences and how they relate to the internship responsibilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team. Let’s get you on board!
We think you need these skills to ace APMO Data Analytics & Reporting - Summer Intern in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the APMO Data Analytics & Reporting Intern role. Highlight relevant skills and experiences that align with the job description, especially your analytical and technical skills.
Show Your Enthusiasm: Let your passion for data analytics and project management shine through in your application. We love candidates who are eager to learn and contribute, so don’t hold back on expressing your excitement about the opportunity!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's relevant to the role. This will help us quickly see how you fit into our team.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets to the right place and is considered promptly. Plus, it shows you’re serious about joining us!
How to prepare for a job interview at S&P Global
✨Know Your Tools
Familiarise yourself with the tools mentioned in the job description, especially Power BI and any AI tools. Being able to discuss your experience or knowledge of these tools will show that you're prepared and genuinely interested in the role.
✨Research Best Practices
Dive into best practices for data analytics and project management. Be ready to discuss how you can apply these practices in the internship. This shows initiative and a willingness to learn, which is exactly what they’re looking for.
✨Prepare Questions
Think of insightful questions to ask during the interview. This could be about the team dynamics, specific projects, or how they measure success in their analytics processes. It demonstrates your engagement and eagerness to contribute.
✨Show Your Learning Mindset
Highlight your willingness to learn and adapt. Share examples from your past experiences where you sought feedback and improved your skills. This aligns perfectly with their emphasis on continuous improvement and personal growth.
