FNBO is seeking a Senior Data Analyst to manage and analyze credit data within the commercial banking sector, aiming to deliver precise and actionable insights by improving data lifecycle processes and system integrations.
Requirements
- Proficiency in Python and SQL with at least 1-2 years of practical application.
- Experience with Microsoft Power BI, Microsoft Excel's Power Query, and Power Pivot.
- Strong understanding of the data querying process and principles of data management.
- Proficiency with DAX (Data Analysis Expressions) for creating advanced calculations in Power BI is also highly valuable.
- 3-5 years of relevant experience in data systems within the commercial banking industry.
- Thorough understanding of credit data management systems, preferably in commercial credit or credit card sectors.
- Robust knowledge of commercial loan underwriting systems and advanced technical skills for managing complex data.
Responsibilities
- Collaborate across business units to understand and analyze credit data, ensuring data insights that align with business objectives.
- Demonstrate exceptional ad hoc data analysis skills, effectively managing and analyzing small, mid-sized, and large datasets across various timeframes.
- Implement best practices in data handling, processing, and reporting to optimize the efficiency and reliability of the credit data system.
- Utilize Python and SQL for data analysis and report generation.
- Leverage low-code tools such as Microsoft Power BI, Microsoft Excel's Power Query, and Power Pivot for ETL (Extract, Transform, Load) and data querying.
- Apply expertise in commercial loan underwriting processes to improve data analysis frameworks and system integrations.
- Employ effective project management techniques to coordinate data-related projects across multiple departments, ensuring timely delivery of outcomes.
Other
- 3-5 years of experience in data management and systems processes, specifically within the commercial banking sector.
- Strong project management abilities are crucial, as this position requires significant cross-functional collaboration to achieve optimal outcomes.
- Excellent communication skills, able to effectively liaise with various stakeholders.
- A well-balanced technical and business acumen, with an understanding of commercial credit processes.
- Candidates must possess unrestricted work authorization and not require future sponsorship.
