Power BI Engineer
VetsEZ
ETLPython
Senior Data Analyst, Commercial Credit
FNBO
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $80,061 - $132,099 per year
Job Level
Senior
Tech Stack
ETLPythonSQL
About the role
- 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.
- Document these processes clearly to enable other users to easily understand and continue the work.
- 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 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.
Requirements
- Bachelor’s degree in Information Systems, Data Science, Computer Science, Finance, Accounting, or a related field required.
- 3-5 years of relevant experience in data systems within the commercial banking industry.
- 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.
- 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.
