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Join us as a Data Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of team of developers, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions.
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:
Deep Expertise in Data Governance
Strong command over Metadata Management, Business & Technical Data Lineage, Data Mapping, and Data Quality Controls design and lifecycle management
Proven capability in conducting structured requirements gathering, performing gap analysis, and producing clear, comprehensive BRDs, FRDs, user stories, and process documentation
End‑to‑End BA Ownership
Demonstrated experience managing the full BA lifecycle, from stakeholder engagement and requirement definition to delivery, sign‑off, and post‑implementation support
Primary Bridge Between Business, Data, and Technology
Acts as the key liaison ensuring alignment across business SMEs, data SMEs, engineering, and governance teams
drives clarity and ensures a shared understanding of requirements
Proficiency in MS Office & Analytical Tools
Strong skills in Excel (including large-volume data analysis), PowerPoint (creating clear and compelling presentations), and other Office tools to communicate insights effectively
Strong Agile & JIRA Proficiency
Comfortable managing epics, user stories, acceptance criteria, sprint ceremonies, backlog refinement, and day‑to‑day Agile workflows in JIRA
Hands‑On Data Analysis & SQL Proficiency
Ability to interrogate datasets, validate business rules, perform root‑cause analysis, and generate actionable insights using SQL
Working Knowledge of Python
Ability to use Python for basic data preparation, data massaging, exploratory analysis, or validation tasks
Nice to have:
Strong SQL capability is a major plus
Python proficiency beyond the basics is an added advantage and will strengthen analytical and automation capabilities
What we offer:
Hybrid working
Structured approach to hybrid working with fixed, ‘anchor’, onsite days
Supportive and inclusive culture and environment
Opportunities to innovate, collaborate, and deliver great outcomes
Welcoming and inclusive culture that supports you to bring your whole self to work
State-of-the-art technology hub with excellent facilities for work, socialising and leisure