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A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world. To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.
Job Responsibility:
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations
Through data-driven analysis, translate analytical findings into actionable business recommendations
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes
Requirements:
Leadership & Team Management (10 to 12 Direct Reports)
Experience in managing cross-functional teams and navigating internal mobility processes
Strong business analysis skills with ability to translate complex business requirements into data solutions
Data analysis and analytics using modern technologies and cloud (AWS, visualization tools, and AI/ML applications)
Demonstrable experience in investment banking data taxonomies - specifically client and party data
Data architecture and logical data modelling strategy, design and implementation
Nice to have:
Strategic Resource Management: Excel at optimizing global talent allocation
Advanced Data Profiling: SQL: Including DDL, DML, performance tuning, PL/SQL, T-SQL and / or Python or Shell scripting
Good knowledge and understanding of data related regulatory requirements across APAC
Experience in implementing data management practices, including metadata, lineage and data quality