Data Analyst

✔️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

,[Supporting the critical GKYC programme to deliver data analytics, design, development] Requirements: SQL, Python, Data management, Data analysis, Data migration, Governance