At a Glance
- Tasks: Analyse project data and develop insights to enhance performance.
- Company: Join WSP, a global leader in engineering services dedicated to local communities.
- Benefits: Enjoy flexible work options and a collaborative team environment.
- Why this job: Make an impact by driving project success through data analytics and teamwork.
- Qualifications: Bachelor's degree and experience in data analytics, especially with Power Bi.
- Other info: Ideal for those passionate about construction and engineering industries.
The predicted salary is between 36000 - 60000 £ per year.
About Us: WSP is one of the world's leading engineering professional services firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors, including engineers, technicians, scientists, architects, planners, surveyors, and environmental specialists, as well as other design, program, and construction management professionals. We design lasting solutions in the Property & Buildings, Transportation & Infrastructure, Environment, Industry, Resources (including Mining and Oil & Gas), and Power & Energy sectors, as well as project delivery and strategic consulting services.
Job Role: We are seeking a skilled Data Analytics Professional with a focus on Power Bi and project controls to join our dynamic team. The successful candidate will be responsible for analysing project data, developing insights, and providing actionable recommendations to enhance project performance and efficiency. As a Data Analytics Professional with a focus on project controls, you will be responsible for leveraging data to drive project performance and decision-making. You will work closely with project managers, engineers, and other stakeholders to ensure projects are delivered on time, within scope, and budget. Your analytical skills will be crucial in identifying trends, risks, and opportunities for improvement.
Key Responsibilities:
- Analyse project data to identify trends, patterns, and anomalies.
- Develop and maintain project dashboards and reports to provide real-time insights.
- Support the development and implementation of project control processes and best practices.
- Ensure compliance with project control standards and procedures.
- Collaborate with cross-functional teams to ensure data accuracy and integrity.
- Monitor project performance metrics and KPIs.
- Provide data-driven recommendations to improve project performance and mitigate risks.
- Ensure data integrity and accuracy by implementing robust data management practices.
- Stay up-to-date with industry trends and best practices in data analytics and project controls.
Qualifications:
- Bachelor's degree in related field.
- Experience in data analytics with a focus on project controls.
Skills and Experience:
- Proven experience in analysing project data and providing actionable insights using Power Bi.
- Strong proficiency in data analytics tools and software (e.g., SQL, Python, R, Tableau).
- Excellent understanding of project management principles and methodologies.
- Ability to work collaboratively with cross-functional teams.
- Strong problem-solving skills and attention to detail.
- Excellent communication and presentation skills.
- Ability to manage multiple tasks and prioritise effectively.
Desirable:
- Experience in the construction or engineering industry.
- Power Platform certifications (e.g. Power Platform Fundamentals).
- Experience in Power Automate and Power Apps for automating workflows and enhancing project controls.
- Knowledge of advanced data analytics techniques such as machine learning and predictive analytics.
Data Analyst - Project Controls employer: WSP
Contact Detail:
WSP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Project Controls
✨Tip Number 1
Familiarise yourself with Power BI and its functionalities. Since the role specifically requires expertise in this tool, consider creating a portfolio of dashboards or reports that showcase your skills. This will not only demonstrate your proficiency but also give you practical examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the engineering and project controls sectors. Attend industry events, webinars, or local meetups to connect with potential colleagues or mentors. Building these relationships can provide valuable insights into the company culture and may even lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in data analytics and project management methodologies. Follow relevant blogs, podcasts, or online courses to enhance your knowledge. Being well-informed will help you engage in meaningful conversations during interviews and show your commitment to continuous learning.
✨Tip Number 4
Prepare for behavioural interview questions by reflecting on your past experiences. Think about specific projects where you successfully analysed data and provided actionable insights. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it easier for interviewers to understand your contributions.
We think you need these skills to ace Data Analyst - Project Controls
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly with Power Bi and project controls. Use specific examples of projects where you've analysed data and provided actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the key responsibilities outlined in the job description, such as developing dashboards and collaborating with cross-functional teams.
Showcase Technical Skills: Clearly list your technical skills related to data analytics tools like SQL, Python, and Tableau. Provide examples of how you've used these tools in previous roles to enhance project performance.
Highlight Problem-Solving Abilities: Demonstrate your problem-solving skills by including specific instances where you've identified trends or risks in project data and how your recommendations led to improvements. This will show your analytical capabilities and attention to detail.
How to prepare for a job interview at WSP
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analysed project data in the past. Highlight your experience with tools like Power Bi, SQL, or Python, and be ready to explain how your insights led to improved project performance.
✨Understand Project Management Principles
Familiarise yourself with key project management methodologies. During the interview, demonstrate your understanding of how data analytics fits into project controls and how it can enhance decision-making processes.
✨Prepare for Technical Questions
Expect technical questions related to data analytics tools and techniques. Brush up on your knowledge of advanced analytics methods, such as machine learning and predictive analytics, as well as your proficiency in Power Platform tools.
✨Emphasise Collaboration Skills
Since the role involves working closely with cross-functional teams, be ready to discuss your experience collaborating with different stakeholders. Share examples of how you ensured data accuracy and integrity while working in a team environment.