Senior Data Analyst

Crown Agents Bank is a vastly growing and regulated UK bank that connects emerging and frontier markets to the rest of the world, using FX and payments technology. We are transforming the way payments and FX move through emerging markets, reducing friction so that more money gets to those who need it. Emerging markets payments are usually challenging, expensive, unreliable and opaque. Our solutions help fix these pain points. Ultimately, we connect traditionally hard-to-reach regions to global financial infrastructure, giving access to the best prices and the fastest, most reliable settlement. FX and cross-border payments are often complex and expensive, especially when operating in emerging markets. Crown Agents Bank (CAB) wraps its deep and trusted relationships and strength of network around innovative digital capabilities, and cross-border transaction banking solutions to enable fintech, corporates, governments, development organisations and banks to move money to, from, and across often hard-to-reach markets. Role Purpose As a Senior Data Analyst, you will play a pivotal role in supporting the bank's strategic and operational objectives through the delivery of insightful data analysis, reporting, and business intelligence. Leveraging advanced analytics, Artificial Intelligence (AI), and automation technologies, you will help uncover trends, predict outcomes, improve operational efficiency, and drive innovation across the organisation. Working closely with cross-functional teams, you will champion data-driven decision-making, identify opportunities for process optimisation, and contribute to the continuous enhancement of reporting capabilities, data quality, and AI-enabled business solutions. Role Responsibilities Partner with business stakeholders to translate strategic objectives and complex business challenges into meaningful dashboards, analytics, and predictive insights that support data-driven decision-making. Establish and maintain robust data governance practices, ensuring data is accurately defined, managed, and understood across CAB through consistent business terminology and data standards. Support the design, development, and ongoing management of enterprise data lakes, data marts, and centralised data models, providing a trusted foundation for reporting and analytics. Define and promote data visualisation standards, ensuring reporting solutions are consistent, accessible, and aligned with governance and business requirements. Develop and oversee the frameworks, processes, and technologies required to provide a single, trusted view of data across CAB, enabling improved performance monitoring and operational excellence. Build a comprehensive understanding of Client, Product, Sales, and performance data to deliver deeper business insights and identify opportunities for growth and optimisation. Implement and support a federated data and analytics framework, enabling governed self-service access to trusted data across the organisation. Leverage emerging technologies, including Artificial Intelligence (AI), machine learning, and automation, to enhance analytical capabilities, streamline processes, and accelerate insight generation. Contribute to the growth and maturity of the Data Management and Analytics function, helping to establish a centre of excellence for data, analytics, and AI across CAB. Support the delivery and continuous evolution of the CAB Data Strategy, ensuring alignment with business priorities, regulatory obligations, and best practices in data management and analytics. Bachelor’s Degree in STEM or Equivalent Professional qualification or Industry experience. Essential Experience Experience of developing dashboards and reports with data visualisation tools e.g. Power BI, Tableau, etc Good knowledge and experience administering the Power BI service Proven track record and experience of data analysis, modelling, and management reporting Significant experience with data manipulation using analysis, modelling, and reporting tools Good knowledge and experience working with databases, including design, modelling, and architecture e.g. Snowflake, SQL Server, Oracle. Experience with Cloud environments essential Good knowledge and experience of programming languages e.g. Python, DAX, R, etc Good understanding of the Financial Services / Banking products and markets Excellent stakeholder management skills coupled with the ability to quickly understand stakeholder needs and define and ensure the implementation of corresponding actions Ability to anticipate and identify potential risks, limitations as well as opportunities, related to data management activities Solution oriented with bias for action and a pragmatic attitude Desirable Experience - Exposure to data science forecasting and modelling in Python Hybrid working Contributory personal pension plan: - Minimum: Employee 2% and Employer 7%. Employer matches contributions in 1% increments to a maximum of: Employee 5% and Employer 10% Life Assurance – 4 times annual salary Group Income Protection Private Medical Insurance – this may include cover for partner and or children at company cost. Cover includes Optical, Dental and Audiology Discretionary Bonus Competitive Annual Leave 2 Volunteering Days Benefit Hub