Key Responsibilities

• Analyse, prepare, and present data for executive and project-level stakeholders. 
• Prepare KPIs, metrics, and data for executive reports and presentations. 
• Create reports and dashboards to support engineering project management and executive reporting. 
• Design report layouts with clear executive summaries, KPIs, and graphical visualisations. 
• Review existing data collection methods and identify opportunities for continuous improvement. 
• Design, develop, and maintain Power BI dashboards that deliver accurate, timely, and actionable insights for Engineering leadership and executive stakeholders. 
• Develop and maintain tables, templates, trackers, and structured data models. 
• Implement automation to improve data collection and reporting processes. 
• Ensure data accuracy, consistency, integrity, and reporting readiness. 
• Identify trends, patterns, risks, and opportunities from structured and unstructured data. 
• Support cross-functional teams with reporting, analytics, and data-driven decision-making. 
• Develop and enhance business intelligence and reporting solutions. 
• Apply data transformation, cleansing, validation, and standardisation techniques. 
• Continuously improve reporting processes to increase speed, quality, and efficiency. 

Qualifications

• Minimum 3–5+ years of experience in data management, reporting, or data analysis. 
• Strong experience working with databases; relational databases preferred. 
• Strong ability to summarise, interpret, and communicate data, identifying meaningful trends and insights. 
• Experience preparing executive-level reports and project performance reporting. 
• Advanced proficiency in Microsoft Excel and Microsoft Office applications. 
• Experience with Power Query, Power BI, and similar reporting and visualisation tools. 
• Experience designing reports with strong data visualisation and presentation capabilities. 
• Proficiency in SQL; knowledge of M and DAX is desirable. 
• Programming experience (e.g., VBA or similar languages) is advantageous. 
• Experience developing data models, reporting templates, trackers, and structured datasets. 
• Strong analytical, problem-solving, and organisational skills. 
• Excellent communication skills with the ability to present complex information to technical and non-technical audiences. 
• Experience working with large datasets from multiple business systems. 
• Ability to work collaboratively across functions in a dynamic global environment.