As an Analytical Engineer in the banking sector, you'll play a crucial role in transforming raw data into structured datasets that drive decision-making. This position requires a blend of data engineering and analytical skills to support enterprise data products.
In the role of Analytical Engineer, you will partner with data scientists and analysts to enhance data-driven decision-making within the banking sector. Your primary responsibility will be to transform complex, raw data into structured datasets that are ready for analytics and reporting. This position is essential for bridging the gap between data engineering and analytics, ensuring that the organization can leverage its data effectively.
Your day-to-day tasks will include designing and implementing scalable data models that align with enterprise data architecture standards. You will also develop and maintain ETL/ELT processes to cleanse and transform data from various sources into trusted datasets. This role is ideal for someone who enjoys working with data and has a strong understanding of data modelling and transformation techniques.
Key responsibilities include: • Designing and implementing data models to support analytical use cases • Ensuring compliance with data governance and architecture standards • Developing ETL/ELT processes for data ingestion and transformation
This role suits individuals who have a solid background in data engineering and are comfortable working in a collaborative environment. Strong analytical skills and the ability to work with complex datasets are essential for success in this position.
You'll be taken to the original listing on PNet to apply.