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.