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- Tasks: Collect and analyse construction project data to drive digital transformation.
- Company: Join a forward-thinking company focused on employee wellbeing and innovation.
- Benefits: Enjoy a comprehensive benefits package and productivity tools like Microsoft Copilot.
- Other info: Dynamic role with opportunities for professional growth and collaboration across teams.
- Why this job: Make an impact by identifying trends and improving project efficiency with data insights.
- Qualifications: Strong Power BI skills, attention to detail, and experience in large infrastructure projects.
The predicted salary is between 35000 - 45000 £ per year.
Benefits
- Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.
- Productivity tools: Utilize cutting‑edge tools like Microsoft Copilot to enhance your productivity and efficiency.
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 to project teams; ensure team members receive essential instruction on ETL tools.
- 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.
- Ensure systems integration and design data modelling processes.
- Develop algorithms and predictive models to extract the data required by the project.
- Assist in aligning project communication and data usage across teams.
Qualifications
- Outstanding attention to detail, self‑motivation, and initiative.
- Strong Power BI expertise and experience using FME for data integration.
- Strong organisational skills to manage multiple tasks, projects, and data streams effectively.
- Ability to perform quality assurance checks according to 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 such as FME and GIS integrations.
- Strong communication, stakeholder engagement, and problem‑solving skills.
- Experience in large infrastructure projects.
Please note that this job description does not represent a comprehensive list of activities; employees may be required to undertake other reasonable duties.
Data Analyst employer: F8 Ferrovial Construction Limited
Contact Detail:
F8 Ferrovial Construction Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect 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
Prepare for interviews by practising common questions and showcasing your Power BI skills. We recommend creating a portfolio of your best work to impress potential employers with your data visualisation prowess.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and tailor your approach to each one.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can set you apart from other candidates. It shows your enthusiasm and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Data Analyst
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 match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Don't forget to mention your familiarity with UK construction data standards!
Showcase Your Attention to Detail: Since attention to detail is key for this role, make sure your application is free from typos and errors. We appreciate candidates who take the time to present their work neatly and professionally.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at F8 Ferrovial Construction 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, as well as any specific examples of how they helped you analyse data or improve processes.
✨Showcase Your Attention to Detail
Since this role requires outstanding attention to detail, prepare to share examples where your meticulousness made a difference. Think about times when your thoroughness led to identifying trends or preventing errors in data analysis.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data integration or project management. Practise articulating your thought process clearly, as this will demonstrate your problem-solving skills and ability to manage multiple tasks effectively.
✨Engage with Stakeholders
Communication is key in this role, so be prepared to discuss how you've engaged with stakeholders in the past. Share specific instances where you successfully collaborated with teams or clients to ensure data accuracy and project success.