- 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 UKβs retail banking division is highly desirable.
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Data Analyst in Milton Keynes employer: IBU
As an Artificial Intelligence Engineer at our innovative tech hub, you will thrive in a dynamic work culture that prioritises collaboration and creativity. We offer competitive benefits, including professional development opportunities and access to cutting-edge technologies, all within a vibrant location that fosters both personal and career growth. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of AI while enjoying a supportive environment that values your contributions.