Data Analyst - (Engineering and Maintenance)

Working alongside experienced analysts and leaders, you'll contribute to projects that improve efficiency, strengthen data quality, and support the delivery of reliable, accessible insight across Engineering & Maintenance. Day to day

• Analyse data to identify trends, insights, and opportunities across Engineering & Maintenance
• Build and maintain dashboards, reports, and data models to support operational decision-making
• Support cross-functional projects by providing timely, accurate analytical input
• Collaborate with stakeholders to understand requirements and translate them into data solutions
• Contribute to the development of internal tools, workflows, and reporting improvements
• Ensure data quality, consistency, and adherence to governance standards
• Present insights in a clear, accessible way for a range of audiences

• Demonstrable experience in data analysis, BI reporting, data modelling, digital solutions, or related data science work within a commercial or operational environment

• Broad technical aptitude and experience working across a range of analytical, reporting, or data science tools and technologies. Exposure to SQL, Python, R, or similar tools would be advantageous

• Evidence of building and maintaining data models, dashboards, reports, or user-focused data solutions that support business decision-making

• Proven ability to analyse data, identify trends, and translate findings into clear, actionable outputs

• Experience working with stakeholders to understand requirements and support the delivery of analytical or digital solutions

• Strong attention to detail, with a track record of ensuring data quality, accuracy, and consistency

• Ability to communicate technical outputs clearly to non-technical audiences

• Evidence of working collaboratively across teams and contributing to shared outcomes Experience working with cloud-based platforms and tools is essential (e.g. Databricks, Power Platform, Power BI, Azure, or similar)

• Exposure to internal digital tools, data products, or web-based applications would be beneficial Demonstrated willingness to learn, develop, and build capability within a data-driven and evolving technical environment