Data Analyst

Requirements:
✔️Must-have knowledge and experience: Proven experience in data management, data quality, or a related role, preferably within the financial services industry Experience with advanced SQL, Python, R, Java and Scala Familiar with data taxonomy and capable to build small data models Experience with Power BI to produce reports Excellent stakeholder management is mandatory as you will be working closely with multiple business areas and key business leads across IT, Architecture, Financial Crime, Compliance, Legal - and the Business in order to implement changes Experience within financial crime (AML/CTF, KYC, Transaction Monitoring and Sanctions) Professional, organised, and structured in approach and work produced to a high quality of standard, and you always strive to find the solution that is best for the bank Prepared for fast paced project with changing priorities Excellent analytical and problem-solving skills, strong attention to detail and a commitment to data accuracy Ability to communicate effectively with both technical and non-technical audiences Ability to work independently and as part of a team Fluency in English is a requirement (speaking and writing) ✔️Nice to have knowledge: Experience with data governance frameworks and methodologies is a plus Experience with data migration and integration projects is a plus
Must have: SQL, Python, Data management, Data analysis
Nice to have: Data migration, Governance
Daily tasks: - Supporting the critical GKYC programme to deliver data analytics, design, development