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Join us as a Data Analyst at Barclays where you will be working towards ensuring that the implementation of several Corporate Bank initiatives aligned with & adhere to the Corporate Data Strategy. This role will support stakeholders in understanding the nuances of the data strategy while working with business & technical SMEs to clarify the scope & impacts of the initiatives. Applying a business domain lens to the requirements of each initiative is key.
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:
Data Analysis using SQL
Data Lakehouse / Warehouse Concepts
Payments Data Domain Knowledge (SWIFT and ISO 20022)
Data Modelling Concepts
Data analysis using Python
Any Lakehouse technology like Snowflake, Databricks etc.
Awareness of standard project control tools, including JIRA, Confluence, etc.