At a Glance
- Tasks: Dive into data management, reporting, and automation with cutting-edge tools like Power BI and Alteryx.
- Company: Join a leading financial institution focused on innovation and teamwork.
- Benefits: Gain valuable experience, mentorship, and potential career growth in a dynamic environment.
- Other info: Collaborate with top IT professionals and enhance your skills in a supportive setting.
- Why this job: Make an impact by optimising workflows and leveraging AI to drive efficiency.
- Qualifications: Pursuing a degree in Finance, Business, or Computer Science; prior data analytics experience is a plus.
The predicted salary is between 20000 - 30000 £ per year.
Core Responsibilities
- Data Management:
- Gain an understanding of the various data and information sources used by the team.
- Analyse, cleanse, and prepare data for reporting.
- Reporting:
- Create data-driven reports, including Corporate & Investment Banking (CIB) operational reports (e.g., ESG Reporting, IT Support KPIs).
- Automation:
- Automate reporting and transition manual workflows into streamlined solutions using Power BI, Power Automate, and Alteryx.
- AI & Use Cases:
- Proactively utilise AI tools to optimise team workflows, analyse financial data, and automate routine tasks.
- Develop AI use cases: proactively identify opportunities, design, and implement practical AI solutions.
- Documentation:
- Assist in maintaining and updating operational, financial, and procedural documents in line with Group standards.
Propose new reporting methods and continuous improvements
- Design innovative reports and dashboards.
- Identify opportunities for efficiency improvements.
Reporting Line
- Provide timely progress updates to the Head of Europe Business Management.
Review of Work
- Participate in weekly and monthly work reviews with the Head of Europe Business Management.
- Liaise regularly with the CIO and other IT Heads (GMC, Infrastructure/Production, Risk & Security).
Key Stakeholders / Liaison
- Liaise regularly with the CIO and other IT Heads (GMC, Infrastructure/Production, Risk & Security).
Technical & AI Skills
- Strong proficiency in MS Office (PowerPoint, Excel, Word) and the MS Power Platform (Power BI, Power Automate, and Power Apps).
- Experience using various AI tools to develop use cases that support data cleansing, analysis, report writing, and routine automation.
- Prior experience with Alteryx is highly desirable.
Experience & Qualifications
- Bachelor’s degree in Finance, Business Administration, Computer Science, or a related field (a Master’s degree is an advantage).
- Prior foundational experience (through internships or academic projects) in Data Analytics, Finance, or Investment Banking is beneficial.
Personal Attributes & Problem Solving
- Sharp analytical capabilities with keen attention to detail and a passion for diagnosing and resolving complex data or system behaviours.
- Self‑motivated with a committed, flexible, and team‑oriented mindset.
- Strong interpersonal and relationship‑building skills to collaborate effectively with diverse CIB.
Intern - IT Business Management Data employer: Groupe BPCE
As an intern in Compliance, you will be part of a dynamic team that values innovation and collaboration, located in the vibrant city of Porto. Our company fosters a supportive work culture that encourages personal and professional growth, offering you the chance to develop your skills in a fast-paced environment while contributing to meaningful projects in financial markets. With access to mentorship and training opportunities, you'll gain invaluable experience that will set you on a path to success in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Intern - IT Business Management Data
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Intern - IT Business Management Data
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Groupe BPCE will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Groupe BPCE
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Groupe BPCE.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Groupe BPCE that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
