Senior Data Analyst

To be successful in this role, you should meet the following requirements:

• Minimum 8-10 years' experience as a data practitioner (in an analyst, engineering, architect, or similar capacity)
• 8-10 years' experience working with object-oriented programming languages (Python preferred). Extensive knowledge of Pandas (or Polars/PySpark) & coding fundamentals in Python, or ability to easily apply them from experience in another coding language
• Very good experience with data pipeline creation & management (Python &/or SQL preferred)
• 8-10 Years' experience translating business requirements into compelling dashboards & visualisations (Qlik or PowerBI preferred)
• Minimum 8-10 years' experience across the Microsoft Office suite of applications; advanced Excel (for data) knowledge is expected
• Experience delivering as part of an Agile team working in Sprints, ideally inclusive of agile ceremonies driven via Jira/Rally or similar
• Experience using LLMs to augment existing processes, understanding their strengths, limitations, benefits, and risks
• Evidenced ability to collaborate & negotiate in large cross-matrix organisations to achieve buy-in & deliver on-time 
• Evidence of strong communication and influencing skills. 
• Problem solving skills / driving continuous improvements to existing processes.
• Ability to work under pressure and to tight deadlines.
• Attention to detail is essential, as dealing with sensitive datasets in a regulatory context.
• Working knowledge of PPM tools (Clarity, JIRA, Rally).
• An understanding of the banking & capital markets regulatory environment.