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- Tasks: Analyse data to support supply chain management and improve processes.
- Company: Join Laing O'Rourke, a leading engineering firm with over 150 years of experience.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and growth.
- Other info: We support diverse candidates through our 'Offer an interview scheme'.
- Why this job: Contribute to a major UK infrastructure project while developing valuable skills in data analysis.
- Qualifications: Experience with Power BI, data management, and strong analytical skills required.
The predicted salary is between 36000 - 60000 £ per year.
Supply Chain Data Analyst
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 take a role in the Civil Works Alliance Supply Chain team, contributing to the efficient management and analysis of data and information. The role includes developing efficient data management tools and processes to support strategic decision making and high-quality information management.
Key Responsibilities
- Collate information from multiple sources and develop reports to aid in Supply Chain Performance Reviews, Risk Management, Programme Management, Budget Management, and others.
- Creation of Power BI dashboards from new or migrate from other sources.
- Data stewardship/data quality management of procurement systems
- Contribute to the improvement of data quality throughout the Civils Works Alliance through effective use of databases and systems and training relevant personnel.
- Identify opportunities to use data to drive product development and broaden the organisation\’s capabilities.
- Work collaboratively with other functional analysts to collect, process, cleanse and verify the integrity of data used for analysis.
- Identify system anomalies through data investigations and provide feedback and insight to colleagues.
- Conduct bespoke data analysis to aid product or process improvement.
- Collate and analyse data for validation.
- Develop semi-automated analytical processes for standard datasets.
- Document analytical processes.
- Visual Management of data into reporting formats for performance management reviews and reporting.
What skills & experience are we looking for?
- Experience of gathering user requirements and developing tools and reporting content to suit.
- High standard of written and verbal communication.
- Expertise in creating Power BI dashboards.
- Experience with data warehousing tools and techniques.
- Hands on experience working with Microsoft Power Apps
- Demonstrates teamwork at the highest level, highly collaborative approach, among the first to volunteer to help others succeed
- Can learn new skills and knowledge, picks up on technical and business challenges quickly.
- Strong Data Management and Analytical Skills especially using large volume of data.
- Strong understanding of Office365 from both technology and usage viewpoints (Particularly MS Excel, Power Point, Word, SharePoint and Teams).
- Understanding of model driven apps (incl. knowledge of JavaScript.)
- Good working knowledge of one or more of the following: SQL, R, Python, GIS packages, statistics and databases.
- Understanding of Azure / Amazon Web Services.
Why SZC?
This is your chance to contribute to one of the UK\’s most ambitious infrastructure projects, shaping the future of energy while working in a supportive, dynamic environment. Be part of a team that values innovation, safety, and sustainability at every stage of the journey—from investment to construction and beyond.
About Laing O\’Rourke
We are an international engineering and construction company delivering state-of-the-art infrastructure and buildings projects for clients in the UK, Middle East and Australia.
Certainty, reliability, quality – this is what our clients want. And at Laing O\’Rourke, we have more than 150 years of experience delivering it. Laing O\’Rourke\’s story is one of energy, passion, ambition, people and teamwork. We harness the power of our experience, stretching back over a century and a half to deliver certainty for our clients.
As part of the Disability Confident scheme, we would like to enable access to candidates with long term health conditions and disabilities through the ‘Offer an interview scheme\’. This supports applicants that meet the essential criteria by offering an interview for the advertised position. Please let us know prior to interview what adjustments are required as well as discussing how we can support you in the workplace.
We want to ensure our recruitment process is accessible to all. If you need the application form in an alternative format or you would like to know more about our recruitment process, please email resourcingteam@laingorourke.com
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Supply Chain Data Analyst employer: Laing O'Rourke
Contact Detail:
Laing O'Rourke Recruiting Team
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. Consider creating a sample dashboard or application to showcase your skills during the interview.
✨Tip Number 2
Network with professionals in the supply chain and data analysis fields. Attend relevant industry events or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach.
✨Tip Number 3
Brush up on your SQL, R, or Python skills, as these are crucial for data analysis. You might want to work on a small project that involves data manipulation or analysis using these languages to demonstrate your capabilities.
✨Tip Number 4
Prepare to discuss how you've previously improved data quality or developed analytical processes. Use specific examples from your past experiences to illustrate your problem-solving skills and collaborative approach.
We think you need these skills to ace Supply Chain Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the responsibilities of a Supply Chain Data Analyst. Emphasise your expertise in data management, Power BI, and any programming languages mentioned in the job description.
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 contribute to the Sizewell C project and how your skills can help improve data quality and analysis.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially those related to data warehousing, Microsoft Power Apps, and any programming languages like SQL, R, or Python. Provide examples of how you've used these skills in previous roles.
Highlight Teamwork and Collaboration: Since the role requires a collaborative approach, include examples in your application that demonstrate your ability to work effectively in teams. Discuss any experiences where you contributed to group projects or helped colleagues succeed.
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 used tools like Power BI, SQL, or Python to solve problems or improve processes.
✨Understand the Role's Requirements
Familiarise yourself with the key responsibilities listed in the job description. Be ready to explain how your skills align with tasks such as creating dashboards, managing data quality, and collaborating with other analysts.
✨Demonstrate Teamwork
Since teamwork is crucial for this role, think of examples where you've successfully collaborated with others. Share stories that illustrate your ability to support colleagues and contribute to a team environment.
✨Prepare Questions
Have thoughtful questions ready to ask at the end of the interview. This shows your interest in the role and the company. Consider asking about the team's current projects or how they measure success in the Supply Chain Data Analyst position.