Data Analyst (SQL and Python.)

Key Responsibilities:

• Develop analytical and automation solutions using SQL and Python.
• Support data transformation and migration activities.
• Assist in data lineage and process flow analysis.
• Support testing, validation and quality assurance activities.
• Contribute to process improvement and standardisation initiatives.
• Support SPR EOD and other strategic programmes as required.

Essential Skills:

· Strong SQL and Python experience.

• Data transformation and automation expertise.
• Strong analytical and problem-solving skills.
• Experience working with large and complex datasets.
• Understanding of data flows and lineage concepts.

Preferred Skills:

· Investment Banking experience.

• Regulatory Reporting exposure.
• Experience with Axiom or similar reporting platforms.
• Understanding of Finance, Risk and Treasury data domains.