The Position: Data Analyst
We are seeking a Systems & Data Analyst to join the Quality function, providing independent insight into programme performance across the Hinkley Point C project. This role will be responsible for transforming complex data into meaningful intelligence, enabling informed decision-making and driving continuous improvement across quality and operational performance.
- Design, develop and maintain advanced Power BI dashboards and reporting solutions to support performance management across the programme.
- Analyse large and complex datasets to identify key trends, performance issues, risks and opportunities.
- Produce accurate and insightful management information to support operational and strategic decision-making.
- Develop and maintain data models, reporting structures and visualisations that improve understanding of programme performance.
- Support the extraction, transformation and loading (ETL) of data from multiple sources to ensure consistency and reliability of reporting outputs.
- Investigate performance trends and root causes, providing recommendations to improve business outcomes and operational effectiveness.
- Work closely with stakeholders to gather reporting requirements and translate business needs into effective analytical solutions.
- Promote data quality, reporting standards and governance practices to establish trusted and reliable management information.
- Support continuous improvement initiatives through the provision of performance analytics and business intelligence expertise.
This is an excellent opportunity for a data-driven professional who can move beyond producing reports to deliver genuine business insight. The role offers the chance to influence programme performance and contribute to the successful delivery of one of the UK's largest and most complex infrastructure projects.
Preferred Profile
- Demonstrable experience developing advanced Power BI dashboards and business intelligence solutions.
- Strong data analysis, reporting and data visualisation skills.
- Experience managing and interpreting large, complex datasets from multiple sources.
- Knowledge of ETL processes, data modelling and reporting architecture.
- Proven ability to identify trends, investigate root causes and provide actionable recommendations.
- Strong stakeholder engagement, communication and requirements gathering skills.
- Degree qualified in a numerate discipline, such as Data Analytics, Mathematics, Statistics, Engineering or Computer Science, or equivalent professional experience.
- Experience within major infrastructure, engineering, construction or capital project environments is desirable.
- Project management qualifications or training, such as APM PMQ or PRINCE2, would be advantageous.
- Experience supporting Quality, Project Controls, Performance Management or Programme Delivery functions would be beneficial.
- Experience working within a highly regulated industry, such as nuclear, defence, energy or transportation, is highly desirable.