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.