Data Analyst – AWS Data Platform

Years of Experience * Minimum 5 yrs Required Skills * Primary Technical And Functional Skills • • Strong hands-on experience in data analysis within complex enterprise environments. • Advanced SQL skills, including querying, joins, aggregations, reconciliation and investigation of large datasets. • Strong analytical and problem-solving capabilities. • Experience with data profiling, validation and reconciliation. • Strong understanding of: • Data quality • Data mapping • Data lineage • Business rules • Data transformation concepts • Reference and master data • Experience translating business requirements into detailed analytical and data requirements. • Ability to analyse data across multiple source systems and identify inconsistencies or anomalies. • Experience defining and validating KPIs, measures and business calculations. • Good understanding of relational databases, data warehouses and modern data lake / lakehouse environments. • Experience with analytical and visualisation tools such as Power BI. • Working knowledge of Python for data analysis would be advantageous. • Good understanding of Data Platform technologies, preferably including: • Amazon S3 • Amazon Redshift • Amazon Athena • AWS Glue • Strong stakeholder-management and communication skills. • Ability to translate complex data findings into clear business language and actionable insights. Required Experience / Knowledge Areas * Specific domain or industry knowledge required • Strong experience in Data Analysis, Business Intelligence or Data Platform delivery. • Demonstrable experience analysing large and complex enterprise datasets. • Experience within Banking or Financial Services strongly preferred. • Experience working with banking data domains such as: • Customer • Account • Product • Transaction • Finance • Risk • Treasury • Experience supporting data migration, transformation or Data Platform initiatives. • Experience working alongside business stakeholders, Data Engineers, Data Modelers and Data Architects. • Understanding of data governance, security and regulatory requirements within a controlled enterprise environment.

Minimum 5 yrs. Strong experience in Data Analysis, BI or Data Platform delivery. Demonstrable experience analyzing large and complex enterprise datasets. Banking/Financial Services experience strongly preferred with familiarity in banking data domains such as Customer, Account, Product, Transaction, Finance, Risk, Treasury. Experience supporting data migration, transformation or Data Platform initiatives. Experience working with business stakeholders, Data Engineers, Data Modelers and Data Architects. Understanding of data governance, security and regulatory requirements within a controlled enterprise environment.