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- Tasks: Analyse data to support decision-making and improve project efficiency.
- Company: Join the innovative Ferrovial BAM Joint Venture team in London.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make a real impact on large-scale infrastructure projects with cutting-edge technology.
- Qualifications: Strong Power BI skills and experience with FME for data integration.
- Other info: Collaborative environment focused on digital transformation and career development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The Data Analyst plays a key role on a large-scale infrastructure project, focusing on the development and ongoing maintenance of the project’s connected digital environment. The role involves analysing data to support decision-making and ensure project objectives are met.
You will work closely with information management and project controls teams, using data to improve project efficiency and support digital transformation initiatives. You will join the FBRS (Ferrovial BAM Joint Venture) Information Management Team (IM), where your responsibilities will include ensuring systems integration, designing data modelling processes, and developing algorithms and predictive models to extract the data required by the project. You will also collaborate with teams across the project to support data analysis and share insights.
Candidates need to demonstrate outstanding attention to detail, self-motivation, and the ability to take initiative. They should also have strong Power BI expertise and experience using FME for data integration.
Key Responsibilities:- Collect, process, and analyse construction project data from multiple sources.
- Support project teams with data quality checks.
- Use FME to support information sharing and provide basic training on FME to project teams. Ensure project team members receive essential instruction on ETL tools (FME).
- Drive digital transformation by identifying and implementing process and workflow efficiency improvements.
- Support the integration of project systems with internal and client platforms.
- Work closely with digitalisation and project controls teams to ensure accurate data flow and project insights.
- Analyse datasets to identify trends, patterns and actionable insights.
- Create and maintain Power BI dashboards, visualisations, and reports for executive and project stakeholders.
- Work closely with the client, RSA delivery team and Project Information Manager to ensure system stability and improvement.
- Ensure the project complies with relevant legislation, project standards, and client requirements.
- Strong organisational skills to manage multiple tasks, projects, and data streams effectively.
- Ability to perform Quality Assurance checks according to the project and industry standards.
- Ability to coordinate and manage own workload to support project delivery.
- Familiarity with BIM, Python/R and UK construction data standards.
- Familiarity with ETL tools like FME and GIS integrations.
- Strong communication, stakeholder engagement, and problem-solving skills.
- Experience in large infrastructure projects.
Location: London
Ferrovial is an equal opportunity employer. We treat all job applications equally, regardless of gender, colour, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws.
Data Analyst in London employer: FERROVIAL CONSTRUCTION (UK) LIMITED
Contact Detail:
FERROVIAL CONSTRUCTION (UK) LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Power BI and FME. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when analysing data and how you've used it to drive project efficiency in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Power BI, FME, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Attention to Detail: Since attention to detail is key for this role, include examples in your application that demonstrate your meticulousness. Whether it's data quality checks or project management, let us know how you ensure accuracy.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure to express your enthusiasm for the role and how you can contribute to our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at FERROVIAL CONSTRUCTION (UK) LIMITED
✨Know Your Data Tools
Make sure you brush up on your Power BI and FME skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data integration and visualisation. Showing that you can effectively use these tools will demonstrate your fit for the role.
✨Showcase Your Attention to Detail
Since this role requires outstanding attention to detail, prepare examples from your previous work where your meticulousness made a difference. Whether it was catching a data error or improving a process, having specific anecdotes will help you stand out.
✨Understand the Project's Context
Familiarise yourself with the FBRS project and its objectives. Knowing about their past projects, like Crossrail and HS2, will show your genuine interest in the company and the role. It’ll also help you connect your skills to their needs during the interview.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in data analysis and project efficiency improvements. Think of scenarios where you identified trends or implemented changes that led to better outcomes. This will highlight your initiative and analytical skills.
