Responsibilities
Analyse data to support business decisions and clearly communicate findings
Collaborate with customers, data providers, and internal stakeholders to gather requirements and resolve issues
Perform data validation, profiling, reconciliation, and quality assessments
Investigate and resolve data issues using root-cause analysis and track remediation actions
Develop and modify queries (e.g., SQL) to support research and data quality checks
Present insights to both technical and non-technical audiences
Support data onboarding, workflow improvements, and operational efficiency initiatives (including automation/AI use)
Identify process inefficiencies and contribute to optimisation, risk management, and change initiatives
Requirements
3+ years’ experience in data management, analysis, or customer-facing data roles
Strong analytical skills with experience handling large or complex datasets
Advanced SQL and Power BI reporting capabilities
Knowledge of data lifecycle processes (profiling, validation, reconciliation)
Experience with root-cause analysis and data quality improvement
Strong communication and stakeholder engagement skills
Exposure to APIs, data integration formats, and modern data platforms (e.g., Azure) preferred
Experience using AI/automation tools to enhance analysis and efficiency, with a proactive and detail-oriented mindset
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