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.