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 at through forums, share lessons learnt amongst the business unit and education practices through briefings/demonstrations.
* The role is highly collaborative. Involves clear communication of analytical results and promotes evidence-based decision-making.
* Actively support and develop the CWA data strategy.
Knowledge & Skills
* Experience of gathering user requirements and developing tools and reporting content to suit.
* Expertise in creating Power BI dashboards.
* Experience with data warehousing tools and techniques.
* Hands-on experience working with Microsoft Power Apps.
* 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, Power Point, Word, SharePoint and Teams).
Qualifications & Experience
* Construction industry experience is preferred.
* 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.
* Knowledge of Process Automation / Machine Learning tools and techniques.
* Able to develop others' knowledge within the team.
About us:
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 the 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 get in touch. #J-18808-Ljbffr