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Join us as a Data Analyst at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. Purpose of the role: 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, documenting data sources, methodologies, and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs
Requirements:
Hands-on experience in Data Analysis within Financial Services
Proficiency in data manipulation (cleansing, enrichment, normalization) with data coming from various sources like flat file, database, excel, APIs
Good understanding of RDBMS & proficient in writing Advanced SQL commands and scripts for data extraction, update and migration
Ability to perform data lineage exercises and trace Critical Data Elements (CDE) across systems for compliance and governance
Ability to work with large datasets and should have implemented controls to ensure data quality, data completeness and data integrity
Excellent critical thinking, problem-solving, and analytical skills, strong communication and presentation abilities for stakeholder engagement
Prior experience in data migration projects
Nice to have:
Exposure to platforms with React/Java as tech stack and using Liquibase for database change management
Familiarity with data governance frameworks and regulatory compliance
Knowledge of ETL tools and data integration processes
Experience with automation scripting (Python, R, or similar)
Understanding of business processes in banking and financial services