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- Tasks: Join the SZC project as a Data Analyst, focusing on data management and analysis.
- Company: Laing O'Rourke is a leading engineering firm with 150 years of experience in infrastructure.
- Benefits: Enjoy a supportive work environment with opportunities for remote work and inclusive hiring practices.
- Why this job: Shape the future of energy while developing your skills in a dynamic and innovative team.
- Qualifications: Experience in data analysis, Power BI, and strong communication skills are essential.
- Other info: We support candidates with disabilities and offer adjustments during the application process.
The predicted salary is between 36000 - 60000 £ per year.
Location: London/Ipswich
Join the exciting journey of one of the UK's largest nuclear projects at Sizewell C! The Sizewell C (SZC) project requires a Data Analyst to contribute to the Civil Works Alliance Supply Chain team, focusing on data management and analysis. The role involves developing data management tools and processes to support strategic decision-making and information quality.
Key Responsibilities
- Gather information from multiple sources and develop reports for Supply Chain Performance Reviews, Risk Management, Programme Management, and Budget Management.
- Create Power BI dashboards and migrate existing ones as needed.
- Manage data stewardship and data quality in procurement systems.
- Improve data quality across the Civils Works Alliance through effective database use and training.
- Identify opportunities to leverage data for product development and organizational capabilities.
- Collaborate with analysts to collect, clean, and verify data integrity.
- Investigate system anomalies and provide insights.
- Perform bespoke data analyses for process and product improvements.
- Validate and analyze datasets.
- Develop semi-automated analytical processes for standard datasets.
- Document analytical procedures.
- Present data visually for performance reviews and reports.
Skills & Experience
- Experience gathering user requirements and developing tailored tools and reports.
- Excellent written and verbal communication skills.
- Expertise in creating Power BI dashboards.
- Experience with data warehousing tools and techniques.
- Hands-on experience with Microsoft Power Apps.
- Strong teamwork and collaboration skills.
- Ability to quickly learn new skills and adapt to technical and business challenges.
- Strong data management and analytical skills, especially with large datasets.
- Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams).
- Knowledge of model-driven apps and JavaScript.
- Proficiency in SQL, R, Python, GIS, statistics, or databases.
- Understanding of cloud services like Azure or AWS.
Why SZC?
Contribute to a major UK infrastructure project, shaping the future of energy in a supportive, innovative, and sustainable environment.
About Laing O'Rourke
An international engineering and construction firm with over 150 years of experience delivering infrastructure and buildings in the UK, Middle East, and Australia. We value certainty, reliability, and quality in our work. We support inclusive hiring practices through schemes like 'Offer an interview' for candidates with disabilities or health conditions. Please inform us of any adjustments needed during the application process. For accessibility or alternative format requests, contact resourcingteam@laingorourke.com.
Contact Detail:
Laing O'Rourke Recruiting Team
resourcingteam@laingorourke.com
StudySmarter Expert Advice 🤫
We think this is how you could land Supply Chain Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially Power BI and Microsoft Power Apps. Having hands-on experience or even creating a sample dashboard can demonstrate your skills and initiative during interviews.
✨Tip Number 2
Network with professionals in the supply chain and data analysis fields. Attend industry events or join relevant online forums to connect with people who might provide insights or referrals for the role at Sizewell C.
✨Tip Number 3
Prepare to discuss your experience with data management and analysis in detail. Be ready to share specific examples of how you've improved data quality or developed analytical processes in previous roles.
✨Tip Number 4
Research Laing O'Rourke and the Sizewell C project thoroughly. Understanding their values and current projects will help you tailor your conversation and show genuine interest during the interview process.
We think you need these skills to ace Supply Chain Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Supply Chain Data Analyst position. Understand the key responsibilities and required skills, as this will help you tailor your application.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that match the job requirements. Emphasise your expertise in data management, Power BI, and any experience with SQL, R, or Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention specific projects or experiences that demonstrate your ability to gather user requirements and develop tailored tools and reports.
Highlight Teamwork and Communication Skills: Since the role requires strong teamwork and collaboration, provide examples in your application that illustrate your ability to work effectively with others and communicate complex data insights clearly.
How to prepare for a job interview at Laing O'Rourke
✨Showcase Your Data Skills
Be prepared to discuss your experience with data management and analysis. Highlight specific projects where you've gathered user requirements, developed reports, or created Power BI dashboards. This will demonstrate your technical expertise and relevance to the role.
✨Communicate Clearly
Since excellent written and verbal communication skills are essential, practice explaining complex data concepts in simple terms. Be ready to present your past work visually, as this aligns with the role's focus on performance reviews and reports.
✨Demonstrate Teamwork
The role requires strong collaboration skills, so be prepared to share examples of how you've worked effectively within a team. Discuss any experiences where you collaborated with analysts or other stakeholders to improve data quality or processes.
✨Adaptability is Key
Highlight your ability to quickly learn new skills and adapt to challenges. Share instances where you've successfully navigated changes in technology or business needs, especially in relation to data management tools and techniques.
