1.Supports the acquisition, processing, integration and quality assurance of data from multiple sources, including the design, coding, testing and deployment of data processes for ingestion, transformation or curation.
2.Uses appropriate tools and techniques to automate data collection and build repeatable analytical outputs, reports and dashboards aligned to agreed business requirements.
3.Undertakes initial data investigation and analysis to identify suitable data sources, validate data quality and surface trends or insight opportunities.
4.Supports the development and refinement of commercial data products, analytical routines and self?serve reporting solutions that inform planning and decision making.
5.Monitors and maintains key reporting metrics (e.g., revenue, consumption and other KPIs) to enable effective business performance tracking.
6.Follows best practices, standards and Agile delivery approaches to ensure consistent, secure and high?quality outputs.
7.Analyses business needs and works with stakeholders to shape data requirements and solution options, ensuring clarity, alignment and effective collaboration.
8.Identifies and implements improvements to data analytics processes, driving efficiency, reliability and continuous improvement across the area.