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- Tasks: Analyse construction data to boost project efficiency and support digital transformation.
- Company: Global leader in infrastructure with a focus on innovation.
- Benefits: Collaborative work environment, career growth opportunities, and professional development.
- Why this job: Join a transformative project and make a real impact in the infrastructure sector.
- Qualifications: Strong Power BI skills and experience in large infrastructure projects.
- Other info: Dynamic team atmosphere with plenty of room for personal and professional growth.
The predicted salary is between 30000 - 50000 £ per year.
A global leader in infrastructure is seeking a Data Analyst to support a large-scale project. The role involves collecting, processing, and analyzing construction data, ensuring project efficiency through data integration.
Candidates should possess strong Power BI skills, attention to detail, and experience in large infrastructure projects.
This position offers a collaborative work environment with opportunities for career growth and development.
Data Analyst: Infrastructure Digital Transformation & Power BI in London employer: Ferrovial Agroman SA
Contact Detail:
Ferrovial Agroman SA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Infrastructure Digital Transformation & Power BI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working on similar projects. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your Power BI skills! Create a portfolio showcasing your data visualisation projects. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you would approach real-world problems in infrastructure projects and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace Data Analyst: Infrastructure Digital Transformation & Power BI in London
Some tips for your application 🫡
Show Off Your Power BI Skills: Make sure to highlight your experience with Power BI in your application. We want to see how you've used it to analyse data and drive project efficiency in past roles.
Be Detail-Oriented: Attention to detail is key for this role. When writing your application, double-check for any typos or errors. We appreciate candidates who take the time to ensure their work is polished and professional.
Share Relevant Experience: If you've worked on large infrastructure projects before, let us know! Share specific examples of how you collected and processed data to support project goals. This will help us see how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Ferrovial Agroman SA
✨Know Your Power BI Inside Out
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss specific projects where you've used Power BI to analyse data and present findings. Having examples at hand will show your practical experience and understanding of the tool.
✨Understand the Infrastructure Landscape
Familiarise yourself with the current trends and challenges in the infrastructure sector. Being able to discuss how data analytics can drive efficiency in large-scale projects will demonstrate your industry knowledge and commitment to the role.
✨Showcase Your Attention to Detail
Prepare to provide examples of how your attention to detail has positively impacted your previous work. Whether it’s catching errors in data or ensuring accurate reporting, highlighting these experiences will resonate well with the interviewers.
✨Emphasise Collaboration Skills
Since this role involves working in a collaborative environment, be ready to talk about your experience working in teams. Share stories that illustrate your ability to communicate effectively and contribute to group success, especially in data-driven projects.
