Data Quality Analyst , Customer & Reference Data Management,VP

Join us as a Data Quality Analyst, Customer & Reference Data Management Join us as part of our exciting new Arago 2.0 Programme, established to support the bank in achieving our ambition to return to green on Data Risk by end of 2026 Using advanced analytics, translation, and visualisation skills, you'll identify suitable data and analytics solutions to meet the needs of our stakeholders Working closely with, and leading business partners, you'll define detailed, often complex and ambiguous business issues or opportunities, and ensure new and existing processes are designed to be efficient, simple, and automated where possible We're offering this role at vice president level What you'll do Arago 2.0 is structured across a number of key capabilities and workstreams to mitigate data risk, such as Data Management Maturity which will establish maturity across our data quality issue management strategy, Integrated Data Management Platform that will develop a single platform that enables improved and secure data access, Data Control by Design will deliver an uplift in data architecture and data management standards integrated into a single pane of glass view of our control environment and BCBS239 will deliver an uplifted BCBS239 framework with clear next best actions to improve compliance. Using strong consultancy skills, you'll develop a thorough understanding of the needs of business stakeholders and identify suitable data and analytics solutions while supporting our business strategy. In doing so, you'll ensure data is sourced from approved Golden Sources, is used appropriately, and is fit for purpose. You'll drive and embed advanced analytics across your team to develop business solutions which increase understanding of the wider business covering customers, processes, channels, and products. You'll bring advanced analytics to life through visualisation, telling powerful stories and influencing important decisions. You'll also work in an agile way within multi-disciplinary data and analytics teams, leading, coaching, and coordinating resources to plan and deliver strategic agreed project and scrum outcomes. In addition to this, you'll: Articulate data and analytics opportunities and bring them to life in a way that business stakeholders can understand and engage with Look for ways to promote data literacy education, and lead and coach colleagues to foster a supportive team culture Adopt and embed new tools, technologies, and methodologies to carry out advanced analytics as part of agile and traditional project teams Partner with colleagues who specialise in data science, data engineering, and decisioning where necessary to meet agreed outcomes Champion data management, actively identifying, understanding, and sharing any data quality issues Maintain and develop external data and analytics knowledge, keeping up to date with emerging trends and tooling, and sharing updates ​

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