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Shift Times: Flexible working available - 37 HPW
Pay Rate: £210 - per day
Location: Bridgwater, TA5 1UD
Job Purpose / Overview
An opportunity has arisen for a Data Clerk to join the Maintenance Team within the site Comm-Ops Directorate. Based at Hinkley Point C you will be part of an expanding multidiscipline team responsible for planning and executing maintenance on equipment that will be required to build, commission and operate Hinkley Point C Power Station. The role will primarily be focused on Data extraction and analysis. The successful candidate will be responsible for populating the Asset Register along with associated attributes within HPC's EAM tool.
Key Responsibilities:
* Maintain the accuracy of the Asset Register in the Enterprise Asset Management (EAM) Tool
* Provide a legible meaningful description for the Assets
* Support development of Equipment and Materials data to enable construction works
The Person
We are seeking experienced technically competent data analyst who is willing to contribute their knowledge and skills to ensure all Structures, systems and components used to construct HPC are captured in the EAM tool Asset Register along with their key attributes.
Maintenance Data Clerk, you will:
* Use Power Bi and other tools to extract information from various data sources
* Organise and transform information into comprehensible structures within Excel worksheets
* Populating data load sheets to submit to the System Administrator for loading into the EAM tool.
* Monitoring data quality and removing corrupt and inaccurate data
* Communicating with stakeholders to understand data content and business requirements
* Create process documents for end users
The Skills
The ideal candidate will possess strong analytical skills and have the capacity to work with large amounts of data, extract relevant information and draw logical conclusions. The successful candidate requires specific prerequisite skills and qualifications including:
* Strong attention to detail when working with data to make accurate conclusions and predictions
* Strong verbal and written communication skills to effectively share findings with shareholders
* A solid understanding of data sources, data organisation and storage
* Knowledge of data manipulation techniques
* Experience of working with large data sets
* Knowledge of Power Bi
Qualifications & Experience
* Good written and verbal communication skills
* Previous experience of Asset Suite 9 or an equivalent EAM tool would be an advantage
* Previous experience of the HPC project would be an advantage
* Previous experience of authoring Process Documents
* Good written and verbal communication skills
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