Data Analyst

As a Data Analyst in our fast-paced digital team, you will help build trusted data foundations and turn data into actionable insights that support transformation and AI readiness. You will partner with business and tech stakeholders to map data sources, govern data quality, and deliver dashboards and KPIs that inform decision-making. Your work will drive data-driven transformation across functions and contribute to high-impact programmes. You will operate at the intersection of data, technology and business change, shaping how data supports performance.

• high-impact digital transformation programmes
• exposure to data strategy and governance
• collaborative and innovative environment
• opportunity to influence data-driven outcomes
• competitive salary and benefits package

• Define, document and maintain data requirements, dependencies and ownership structures.
• Support the development and implementation of data governance standards and best practices.
• Maintain a central register of master data sources, including ownership, criticality and data quality status.
• Assess data maturity across functions and identify improvement opportunities.
• Evaluate data products and identify dependencies and integration points.
• Develop remediation plans for data quality and compliance gaps.
• Execute data self-assessment and inspection activities.
• Translate business challenges into data migration, integration and analytical requirements.
• Analyze complex data sets to identify trends, risks and opportunities.
• Define and measure KPIs for data quality and transformation initiatives.
• Support stakeholders with data-driven recommendations and insights.
• Conduct gap analyses to support decision-making.
• Design, develop and maintain dashboards and reporting solutions.
• Regularly report on data health, quality metrics and transformation progress.
• Present findings to technical and non-technical audiences.
• Ensure reporting provides clear, actionable insights.
• Partner with business, digital and technology teams to understand requirements.
• Provide guidance on data standards, governance and best practices.
• Communicate technical concepts clearly to diverse audiences.
• Build relationships to support transformation delivery.
• Identify opportunities to improve governance, quality and information management.
• Support initiatives for readiness for advanced analytics and AI adoption.
• Promote a culture of data quality and continuous improvement.

• Extensive experience mapping complex data sources, integrations and data flows.
• Strong data analysis, profiling and gap analysis experience.
• Understanding of data modelling and data architecture principles.
• Knowledge of data governance, master data management and data quality frameworks.
• Experience defining data requirements for business and transformation initiatives.
• Strong dashboarding and reporting experience.
• Excellent stakeholder management and relationship-building skills.
• Ability to communicate technical findings to non-technical audiences.
• Strong report writing, presentation and documentation skills.
• Experience managing multiple priorities in fast-paced projects.
• Exceptional attention to detail and commitment to data accuracy and quality.

• Stakeholder management
• Communication of technical concepts to non-technical audiences
• Relationship-building across diverse teams
• Data governance and master data management
• Data quality frameworks
• Data modelling and data architecture