Company: Barclays
To be successful as a Data Analyst you should have experience with:
- 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.
- Some other highly valued skills includes:
- Strong SQL capability is a major plus.
- Python proficiency beyond the basics is an added advantage and will strengthen analytical and automation capabilities.
Apply Link : https://search.jobs.barclays/job/-/-/13015/91119476976?src=JB-12860
