Role : Business Analyst Domain : Banking Domain experience Location : London Experience : 6-9 Years Job Description Banking experience required. Accountabilities: Investigate and analyse data issues related to quality, lineage, controls, and authoritative source identification. Execute data cleansing and transformation tasks to prepare data for analysis. Design and build data pipelines to automate data movement and processing. Develop and apply advanced analytical techniques, including machine learning and AI, to solve complex business problems. Document data quality findings and recommendations for improvement. Expectations: Advise key stakeholders, including functional leadership teams and senior management, on functional and cross-functional areas of impact and alignment. Manage and mitigate risks through assessment, supporting the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organization’s functions to contribute to achieving business goals. Collaborate with other areas of work for business-aligned support areas to keep up to speed with business activity and strategies. Create solutions based on sophisticated analytical thought, comparing, and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem-solving processes. Seek out, build, and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. Communicate insights and findings to stakeholders, ensuring that the information is understood and actionable Additional Job Description: Join us as a Data Analyst at Barclays, where you will interpret data to provide insights that drive strategic decision-making across the business. You will collaborate with various teams to optimize processes, enhance data-driven strategies, and ensure compliance with industry regulations. To be successful as a Data Analyst, you should have experience with: Capturing business requirements and translating them into technical data requirements. Logical data modelling (e.g., ERWIN, Archi, MagicDraw). Analytical literacy within a complex end-to-end architecture and data analysis tooling (Python, R, SQL). Background in the investment banking industry with good product knowledge in at least one asset class is desirable. Knowledge of Wholesale Markets business and related data flows. Sound grasp of the front-to-back process of an investment bank. Strong analytical skills, able to demonstrate flexibility in problem-solving. Enthusiastic and demonstrates a can-do attitude through appropriate behaviours. Willingness and ability to share information, transfer knowledge, and expertise to team members. Highly valued skills may include: Experience in Business/Data analysis and storytelling methods to present complex data issues in a simple and engaging manner. Passion for and commitment to ensuring data quality with meticulous attention to detail. Experience in data and operating model process re-engineering and ownership. Exposure to data integration design strategies for both internal and external customer usage. Strong written and verbal communication skills, including documentation, and experience working with various stakeholders ranging from different business areas, technology, and project team members.