Business Intelligence Analyst
4 days ago
Join Us in Becoming the Best Bank in the World
We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.
Who We Are
We are a bank, but we're much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.
About the Role
The Payments team oversees all payment products, including both Card and Electronic Payments. This encompasses the entire payments landscape, covering systems, processing, and business aspects. Within this framework, the Payments Data Strategy team is dedicated to managing all data-related activities. Our focus areas include data strategy, forecasting and predictive modeling, insights and business analysis, as well as monitoring and reporting. By utilizing data analysis and visualization tools, the Business Intelligence Analyst will generate actionable business insights that drive tangible value for the organization. This role involves influencing and supporting the organization in making data-driven decisions that enhance performance, optimize operations, and drive growth.
Minimum Requirements
- At least 3 years' experience as Business Intelligence Analyst or equivalent (data analyst etc.) including experience in data analytics, BI methods and tools, data warehousing and the data life cycle.
- Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data.
- Experience with stakeholder engagement.
- Experience in working with data on cloud platforms, such as AWS or Microsoft Azure.
- Experience in building data visualizations using tools such as Power BI.
- Experience of using SQL to prepare and analyze data.
Knowledge:
- Knowledge and basic experience in using low/no code AutoML on modeling tools such as Power BI or AWS Sagemaker.
- Design thinking.
- Dimensional Modelling.
- The Data Product Life Cycle (DPLC).
- Knowledge of data privacy and security regulations and best practices.
- Knowledge and understanding of data quality and incident management.
- Knowledge and experience of agile project management methodology.
Ideal:
- Previous experience working in business analysis in the banking sector.
- Knowledge of change management principles and practices.
Skills:
- Commercial Thinking Skills.
- Facilitation Skills.
- Numerical Reasoning Skills.
- Presentation Skills.
- Problem Solving Skills.
Additional Information:
- Clear criminal and credit record.
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