This role is suited to an experienced BI professional who can turn complex datasets into clear, reliable insights and build reporting solutions that support both strategic and operational decision-making.
- Own the development and continuous improvement of interactive dashboards, management reports, and KPI views that give stakeholders a clear picture of performance and emerging trends.
- Work closely with business teams to understand reporting challenges, define analytical requirements, and convert them into practical BI solutions.
- Bring together information from multiple data sources, building structured models and reporting logic that support consistent and accurate analysis.
- Investigate data quality, timeliness, and reporting issues, partnering with data engineering and technical teams to resolve gaps affecting business insight.
- Use Power BI, Azure-based data technologies, SQL, and analytical techniques to explore data, identify patterns, and produce actionable recommendations.
- Improve the organisation’s overall BI capability by strengthening reporting standards, documentation, analytical practices, and user understanding of data-driven decision-making.
- Strong hands-on expertise in Microsoft Power BI, Microsoft Azure Data Platform, and SQL databases, with the ability to independently build and maintain sophisticated dashboards and reporting solutions.
- 5+ years of relevant experience across business intelligence, reporting, analytics, dashboard development, or a closely related data discipline.
- Strong knowledge of data modelling, KPI design, visualisation principles, and working with multiple datasets to create reliable business insights.
- Analytical mindset with the ability to investigate complex data issues, recognise trends, and apply statistical or data-driven approaches to problem-solving.
- Experience collaborating with business stakeholders and technical teams to translate reporting needs into effective analytical solutions.
- Bachelor’s degree in Computer Science, Data Engineering, Business Analytics, Information Systems, or a related field; exposure to data mining and big data analytics would be an advantage.
This role offers the opportunity to work across complex datasets, enterprise reporting, data quality, and advanced visualisation while directly influencing how information is used to support decision-making across the organisation.