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.
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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.