Data Analyst Whitehall Resources currently require an experienced Data Analyst to work with a key client based in Sweden Your areas of responsibility will include but not be limited to:
- Analyse existing KYC data to identify gaps, inconsistencies, and areas for improvement - Work collaboratively with business and IT partners across business units to develop and implement data standards to ensure data accuracy & completeness - Be part of major projects for delivery of Group KYC Tool - Partner with Data Architects and business SMEs to create and maintain a Business Information Model (BIM) for each data domain that is aligned across the enterprise - Monitor data quality metrics and report on findings to management - Investigate and resolve data quality issues, escalating complex problems as needed - Provide consultative services to agile delivery teams and ensure data governance best practices - Support the implementation of new KYC systems and processes, ensuring data migration and integration are seamless and accurate - Utilize enterprise approved tools to develop reproducible data-flows that ultimately fulfill reporting requirements - Implement testing and monitor quality of developed data-flows and reporting outputs, performing upgrades as identified and maintenance as required - Work with multiple customers to analyze and visualize complex data in simple and accurate ways - Document data definitions, data lineage, and data quality rules - Participate in data governance/stewardship communities of practice - Contribute to the development and maintenance of data governance policies and procedures - Stay up-to-date with industry best practices and regulatory requirements related to KYC data management - Proactively identify opportunities to improve data quality and efficiency 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 queries and familiarity with another programming language, e.
g.
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), working agile and experience with SAFe is an advantage - 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 - 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 - Experience with data governance frameworks and methodologies is a plus - Experience with data migration and integration projects is a plus - Ability to work independently and as part of a team- Fluency in English is a requirement (speaking and writing)
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