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Step into the role of Senior Data Analyst at Barclays within the Investment Bank Chief Data & Analytics Officer (CDAO) team at Barclays, where you’ll drive innovation and creativity by developing forward-thinking, data-driven solutions. Your problem-solving mindset, determination, and collaborative spirit will be key to challenging the status quo and introducing new ideas. In this role, you’ll be at the centre of our data strategy, transforming raw information into actionable insights that power smarter decisions and operational excellence. You will partner with Front Office and work cross functionally with Legal and Operations teams to design innovative solutions, streamline data pipelines, optimise data structures, strengthen governance, and ensure regulatory compliance, making a meaningful impact on how Barclays delivers value.
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:
Proven experience delivering data analysis for major front office regulatory programmes
Strong knowledge of investment banking products, risk frameworks, and financial markets data
Skilled in requirements traceability, data sourcing, data lineage, and front office control design
Extensive experience in data modelling and architecture
Strong expertise in data governance principles, data quality, and front office control frameworks
Skilled in designing controls to ensure accurate and reliable data
Skilled in translating regulatory requirements into scalable data designs and source to target mappings using conceptual, logical, and physical modelling
Advanced proficiency in SQL
Hands on Python for complex data joins, transformations, and reconciliations across large datasets
Skilled in creating interactive dashboards and visualisations using Power BI and Tableau
Skilled in presenting insights effectively to senior stakeholders within Front Office business through visualisation tools such as Power BI or Tableau
Nice to have:
Cloud Data Platform Experience: Hands on experience with cloud platforms (AWS, Azure, Snowflake, or Databricks) and big data ecosystems
Metadata & Lineage Tooling: Proficiency in tools such as Collibra, Alation, or Informatica EDC for managing data dictionaries, lineage, and governance artefacts to support regulatory traceability
Agile Delivery Practices: Strong understanding of Agile methodologies (JIRA, Confluence) for efficient, audit ready delivery
Cross Functional Collaboration: Ability to work across functions and influence decision making at senior levels