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- Tasks: Collect and analyse data to support project decisions using Microsoft Power BI.
- Company: Join Wood, a leader in project data analytics with a collaborative spirit.
- Benefits: Gain valuable experience, develop skills, and enjoy a supportive work environment.
- Other info: Opportunity for career growth and hands-on experience in a dynamic team.
- Why this job: Make a real impact on project performance while growing your analytical skills.
- Qualifications: Strong analytical skills and a passion for data-driven decision making.
The predicted salary is between 30000 - 40000 £ per year.
Wood are recruiting for a Project Data Analyst to deliver accurate, timely and well structured data analysis and business intelligence in support of project and operational decision making, working under the guidance of more senior members of the Project Data Analytics team.
The Role
In this role you will be responsible for collecting, integrating, and analysing data from multiple delivery systems, and for developing and maintaining reports, dashboards, and supporting analytics assets using Microsoft Power BI and related tools. Through hands‑on delivery and collaboration with project teams, you will contribute to improve understanding of project performance across project management, project controls, engineering, HSE, and quality functions. You will actively develop technical capability, domain knowledge, and professional confidence, progressing from defined tasks towards greater autonomy over time.
Project Data Analyst employer: Wood
Contact Detail:
Wood Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Wood. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially using Power BI. This will not only demonstrate your technical capabilities but also your passion for the role.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of project performance metrics. Be ready to discuss how your analytical skills can contribute to project management and controls at Wood.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Project Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the Project Data Analyst role. We want to see how your background aligns with data analysis, Microsoft Power BI, and project performance.
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. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially in data integration and analytics tools. We’re keen on candidates who can hit the ground running, so highlight any relevant projects or experiences you've had.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Wood
✨Know Your Data Tools
Make sure you brush up on your skills with Microsoft Power BI and any other relevant tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Understand the Business Context
Familiarise yourself with the types of projects Wood typically undertakes. Understanding their operational decision-making processes will help you demonstrate how your data analysis can directly support their goals and improve project performance.
✨Prepare for Technical Questions
Expect questions that test your analytical thinking and problem-solving skills. Practice explaining your thought process when analysing data or creating reports. This will help you convey your technical capability and confidence during the interview.
✨Show Your Collaborative Spirit
Since the role involves working closely with project teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex data insights clearly and work towards common goals with others.