Data Analyst

• Expertise: Strong history of data analytics experience, heavily focused within UK Retail Banking .
• Strong understanding of ETL processes.
• Experience in creating source-to-target mapping documents.
• Strong analytical and problem-solving skills.
• Ability to interpret complex datasets and business rules.
• Collaborate with business stakeholders to gather and document data-related requirements.
• Translate business needs into functional and technical specifications.
• Conduct workshops and data discovery sessions to understand data flows and dependencies.
• Domain Knowledge: Deep background in Retail Banking systems and data structures.

Good to have Proven track record analyzing loyalty, and rewards ecosystems .

• Technical Mastery: Expert-level SQL skills and proficiency in Python or R for data manipulation.
• Cloud Infrastructure: Practical, hands-on experience working in an AWS data lake environment (e.g., S3, Athena, Redshift, Glue).
• Soft Skills: Strong analytical and problem-solving skills with the ability to interpret complex datasets and business rules.
• Preferred: Prior experience as a Data Analyst within Santander UK’s retail banking division is highly desirable.

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