FAQs
What is the primary role of a Data Analyst in this position?
The primary role of a Data Analyst in this position is to transform data into actionable insights by working closely with various business units to bridge the gap between business needs and technical solutions, particularly in the development and implementation of credit models as part of the broader IRB programme.
What are the key responsibilities of the Data Analyst?
The key responsibilities include collaborating with the Credit Modelling Team to understand data requirements, conducting gap analyses, developing understanding of business operations, creating functional specifications, partnering with Operations and Tech teams to address data quality issues, maintaining a business glossary, and supporting data validation reports.
What core skills are required for this Data Analyst position?
Core skills required include an understanding of data governance, experience in data mapping, proficiency in SQL for data access and analysis, familiarity with Azure stack and data warehousing, strong communication skills, and the ability to identify gaps in business processes for improvement.
Are there any desirable attributes for this role?
Yes, desirable attributes include knowledge of the asset finance industry, strong analytical and diagnostic skills, a collaborative mindset, initiative and creative problem-solving capabilities, and tenacity and self-motivation to drive tasks to completion.
What tools and technologies should I be familiar with for this position?
You should be familiar with SQL, the Azure stack, and data warehousing concepts, as these tools are essential for data access, analysis, and processing in this role.
Is experience in the asset finance industry necessary for this role?
While experience in the asset finance industry is not essential, it is considered advantageous and may enhance your effectiveness in the role.
How does this role support data quality improvement?
This role supports data quality improvement by partnering with Operations and Tech teams to remediate data quality issues, developing data validation reports, and enhancing the business glossary to ensure adherence to data governance best practices.
What is the work environment like for this position?
The work environment is collaborative, as the Data Analyst will engage with various teams within the organization, including the Credit Modelling Team, Operations, Tech teams, and other business units to achieve common goals.
What educational background is preferred for this role?
While the job description does not specify, a degree in a related field such as data science, statistics, computer science, or business analytics is commonly preferred for Data Analyst positions.
Will there be opportunities for professional development in this role?
Yes, opportunities for professional development may exist as you collaborate with different teams, gain insights into the credit modeling process, and improve your data analysis skills in a dynamic environment.
