Data Analyst

Data Analyst at Barclays

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 a team of developers, you will deliver technology stack, using strong analytical and problem-solving skills to understand the business requirements and deliver quality solutions.

Key Responsibilities:

• Deep Expertise in Data Governance: Strong command over Metadata Management, Business & Technical Data Lineage, Data Mapping, and Data Quality Controls design and lifecycle management.
• Requirements Elicitation & Documentation Excellence: 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.

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.

Accountabilities:

• 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.

Analyst Expectations:

To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise. Thorough understanding of the underlying principles and concepts within the area of expertise. They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Key skills/competency

• Data Governance
• Metadata Management
• Data Lineage
• Data Quality
• Requirements Elicitation
• Business Analysis
• SQL
• Python
• Agile
• JIRA