At a Glance
- Tasks: Support data analysis and reporting for major infrastructure projects using tools like Power BI and Excel.
- Company: Join WSP, a global leader in infrastructure and engineering.
- Benefits: Gain experience on landmark projects with opportunities for career growth and development.
- Other info: Collaborative environment that values new ideas and diverse perspectives.
- Why this job: Make a real impact while working with innovative teams and cutting-edge technology.
- Qualifications: Degree in data analytics or related field; experience with data interpretation and reporting.
The predicted salary is between 28000 - 35000 € per year.
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
A little more about your role… This role sits within our growing Programme Solutions team, supporting the delivery of major infrastructure and complex programmes through data, reporting and analytics. Working alongside project managers, engineers and PMO teams, you will play a key role in ensuring project data is accurate, structured and accessible—helping to provide clear insight into performance and supporting effective decision-making. You will contribute to reporting across cost, schedule, risk and performance, while supporting the development of digital tools and dashboards that improve how projects are understood and delivered.
What will you do?
- Support the development of clear, insightful reporting using tools such as Power BI and Excel
- Transform data from multiple sources into structured, usable formats
- Contribute to integrated reporting across cost, schedule, risk and performance
- Maintain key PMO datasets including risk, issue, action and performance logs
- Support programme and project governance reporting cycles
- Work with project teams to improve data quality, consistency and reporting processes
- Contribute to the development of more efficient, automated reporting approaches
What we will be looking for you to demonstrate…
Qualifications: Degree-qualified or equivalent experience in data analytics, engineering, mathematics or a related discipline.
Skills & Experience:
- Experience working with data and interpreting datasets
- Working knowledge of Microsoft Excel and Power BI
- Ability to structure and present data clearly and concisely
- Strong attention to detail and commitment to data accuracy
- Strong communication skills and ability to work collaboratively
- Experience working in a project, programme or PMO environment (desirable)
Don’t quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team. Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today.
Assistant Data Analyst in Birmingham employer: WSP
At WSP, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As an Assistant Data Analyst, you will not only contribute to significant infrastructure projects but also benefit from a supportive environment that encourages professional growth and the development of your skills in data analytics. With access to cutting-edge tools and a diverse team of experts, you'll find ample opportunities to make a meaningful impact while shaping a rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Data Analyst in Birmingham
✨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 refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and role thoroughly. Understand their projects and values, and think about how your skills can contribute to their success. This will help you stand out as a candidate who truly cares.
✨Tip Number 3
Showcase your skills with a portfolio! If you've worked on relevant projects or have examples of your data analysis work, put them together in a neat presentation. This gives you a tangible way to demonstrate your abilities during interviews.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t meet every single requirement, we value diverse experiences and perspectives. Just show us your passion for data and how you can contribute to our team!
We think you need these skills to ace Assistant Data Analyst in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Assistant Data Analyst role. Highlight your data analytics experience, especially with tools like Excel and Power BI, to show us you’re the right fit!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how your background aligns with our mission at WSP. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Share examples of how you've transformed data into insights or improved reporting processes. We love seeing real-world applications of your skills.
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at WSP
✨Know Your Data Tools
Make sure you brush up on your skills with Power BI and Excel before the interview. Be ready to discuss how you've used these tools in past projects, as well as any specific features or functions that helped you transform data into clear insights.
✨Showcase Your Attention to Detail
Since this role requires a strong commitment to data accuracy, prepare examples that highlight your attention to detail. Think of times when your meticulousness made a difference in a project, whether it was catching an error or improving a reporting process.
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining complex data concepts in simple terms, as you may need to present findings to team members who aren't data-savvy. This will show that you can collaborate effectively within project teams.
✨Understand Project Environments
Familiarise yourself with project, programme, and PMO environments. Be prepared to discuss any relevant experience you have in these areas, and think about how you can contribute to improving data quality and reporting processes in such settings.
