Supply Chain Data Analyst

ENGINEERINGUK; Leiston; On-site; GBP 40,000 - 70,000; Full time

Job summary

Join a pioneering team on one of the UK's largest nuclear projects, where you will play a crucial role in data analysis and management. This position offers the chance to develop innovative data management tools and processes that support strategic decision-making. You will collaborate with a diverse team, ensuring data integrity and quality across various systems. This is an exciting opportunity to contribute to a transformative infrastructure project in a supportive and innovative environment, shaping the future of energy in the UK.

Qualifications

• Experience in gathering user requirements and developing tailored tools.
• Strong analytical skills with large datasets and data management.

Responsibilities

• Develop reports for Supply Chain Performance Reviews and Risk Management.
• Create Power BI dashboards and manage data quality of procurement systems.

Skills

Power BI

Data Management

SQL

R

Python

Communication Skills

Microsoft Power Apps

Data Warehousing

Office365

Team Collaboration

Job description

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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 join the Civil Works Alliance Supply Chain team, contributing to the efficient management and analysis of data and information. The role includes developing 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 for Supply Chain Performance Reviews, Risk Management, Programme Management, Budget Management, and others.
• Create Power BI dashboards from scratch or migrate from other sources.
• Manage data stewardship and data quality of procurement systems.
• Contribute to improving data quality across the Civils Works Alliance using databases and systems, and train relevant personnel.
• Identify opportunities to leverage data for product development and organizational capabilities.
• Collaborate with other analysts to collect, process, cleanse, and verify data integrity.
• Detect system anomalies through data investigations and provide insights to colleagues.
• Perform bespoke data analysis to support product or process improvements.
• Aggregate and analyze data for validation purposes.
• Develop semi-automated analytical processes for standard datasets.
• Document analytical processes clearly.
• Visualize data in reporting formats for performance reviews and reporting.

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 collaborative approach; proactive in helping others succeed.
• Quick learner of new skills, 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, including JavaScript.
• Proficiency in SQL, R, Python, GIS, statistics, or databases.
• Understanding of cloud platforms like Azure or AWS.

Why SZC?

This is your opportunity to contribute to one of the UK's most ambitious infrastructure projects, shaping the future of energy in a supportive, innovative, and sustainable environment.

About Laing O'Rourke

We are an international engineering and construction company delivering infrastructure and buildings in the UK, Middle East, and Australia. With over 150 years of experience, we prioritize certainty, reliability, and quality. Our story is one of energy, passion, ambition, and teamwork.

We support diversity and are part of the Disability Confident scheme, offering accessible recruitment processes and support for candidates with disabilities. For accommodations or more information, contact [e-mail].

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