Supply Chain Data Analyst, London

EDF Energy is leading the charge toward a low-carbon energy future in the UK, withSizewell C (SZC)at the forefront. Set to begin construction at the end of 2023, SZC is a major new nuclear station that will play a key role in reducing carbon emissions and shaping the nation's energy policy.

TheSZC Project Teamis a diverse, collaborative group focused on engaging stakeholders, securing development consent, and preparing for construction. Central to this effort is theQualityfunctionwithin the Project Delivery Organisation (PDO), ensuring compliance with the Integrated Management System (IMS) and regulatory Licence Conditions. This project will have a lasting impact on the UK's energy landscape and climate goals.

Job Purpose / Overview

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.

Principal Accountabilities, Activities and Decisions

• 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.
• Assist with the implementation of data-driven process improvement within the project.
• Promote data science and represent the programme directorate to the wider business through forums, share lessons learnt amongst the business unit and educate practices through briefings/demonstrations.
• The role is highly collaborative, involving clear communication of analytical results and promoting evidence-based decision-making.
• Actively support and develop the CWA data strategy.

Dimensions

• Organisational - close collaboration with the CWA data lead and aligning to strategy.
• Works across the CWA organisation including estimating, planning, commercial, and project management.

Knowledge, Skills, Qualifications & ExperienceKnowledge & Skills

• Experience of gathering user requirements and developing tools and reporting content to suit.
• High standard of written and verbal communication.
• Experience with data warehousing tools and techniques.
• Hands-on experience working with Microsoft Power Apps.
• Ability to work on-site and remotely with equal effectiveness.
• Demonstrates teamwork at the highest level, highly collaborative approach, among the first to volunteer to help others succeed.
• Strong customer & delivery focus, meeting and exceeding customer expectations.
• Can learn new skills and knowledge, picks up on technical and business challenges quickly.
• Strong Data Management and Analytical Skills especially using large volumes of data.
• Strong understanding of Office365 from both technology and usage viewpoints (Particularly MS Excel, PowerPoint, Word, SharePoint, and Teams).

Qualifications & Experience

• Construction industry experience is preferred.
• Good working knowledge of one or more of the following: SQL, R, Python, GIS packages, statistics, and databases.
• Understanding of Azure / Amazon Web Services.
• Knowledge of Process Automation / Machine Learning tools and techniques.
• Experience of gathering user requirements and developing tools and reporting content to suit.
• Able to develop others' knowledge within the team.

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