Data analysis and insights
- Analyse data to identify trends, patterns and business opportunities.
- Translate complex data into actionable insights and recommendations.
- Define and monitor KPIs, measures and business metrics.
- Perform root cause analysis and data validation activities.
Data enablement and governance
- Promote data quality, governance standards and best practices.
- Maintain data dictionaries, business glossaries and source-to-target mappings.
- Support data lineage, metadata management and reporting standards.
- Identify and remediate data quality issues with relevant stakeholders.
- Ensure compliance with data governance and information management principles.
Requirements and stakeholder engagement
- Gather, document and validate business, data and reporting requirements.
- Facilitate engagement between business and technical teams.
- Create functional specifications and data-related documentation.
- Support testing, user acceptance activities and solution adoption.
Business intelligence and reporting
- Develop and maintain reports, dashboards and visualisations.
- Translate business requirements into meaningful BI solutions.
- Perform report validation and quality assurance.
- Support self-service reporting and data literacy initiatives.
Technical data capability
- Use SQL to extract, transform and validate data.
- Understand data models, warehouses, lakes and modern cloud platforms.
- Collaborate with Data Engineers, Architects and BI teams.
- Support data integration, transformation and analytical solution delivery.
AI and Modern tooling
- Leverage AI-enabled tools to improve analysis, documentation and productivity.
- Apply responsible AI practices and validate AI-generated outputs.
- Maintain awareness of emerging technologies, analytics and AI trends.
- Identify opportunities to improve business outcomes through modern data and AI capabilities.