At a Glance
- Tasks: Transform data into insights that drive strategic decisions and operational efficiency.
- Company: Crown Agents Bank connects emerging markets to global financial infrastructure.
- Benefits: Competitive pension plan, life assurance, private medical insurance, and discretionary bonuses.
- Other info: Opportunity to grow in a centre of excellence for data and analytics.
- Why this job: Join a dynamic team using AI and analytics to make a real-world impact.
- Qualifications: Bachelor’s in STEM or equivalent experience; skilled in data visualisation and analysis.
The predicted salary is between 50000 - 65000 £ per year.
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.
Job Description
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.
Qualifications
Bachelor’s Degree in STEM or Equivalent Professional qualification or Industry 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 reportingSignificant 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
Additional Information
- 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
Senior Data Analyst employer: Crown Agents Bank
Crown Agents Bank is an excellent employer that values integrity and compliance, offering a dynamic work culture where collaboration and attention to detail are paramount. Employees benefit from ongoing professional development opportunities and a supportive environment that encourages growth within the financial sector. Located in a vibrant area, the bank provides a unique chance to engage with diverse banking partners while contributing to meaningful anti-financial crime initiatives.
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We think this is how you could land Senior Data Analyst
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We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Crown Agents Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Crown Agents Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Crown Agents Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Crown Agents Bank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
