Fremont Bank is looking to solve the problem of driving decision-making that supports strategic objectives in Commercial Lending by collecting, analyzing, and interpreting data.
Requirements
- Proficient in SQL, Python, and data visualization tools like Tableau or Power BI.
- Demonstrated experience in using statistical and data mining techniques to solve complex business problems.
- Experience with nCino or SalesForce is a plus
- Knowledge of loan origination systems (nCino or SalesForce preferred)
- Proficient in Microsoft Office applications
- Commercial banking or commercial loan operations experience is a plus
Responsibilities
- Data Collection and Preparation: Gather, clean, and organize large sets of data from various internal and external sources. Ensure data is accurate, complete, and ready for analysis.
- Data Analysis and Reporting: Analyze complex datasets to identify trends, correlations, and insights. Generate regular and ad-hoc reports for various departments, ensuring clarity and actionable insights.
- Data Visualization: Create clear, concise, and visually engaging dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to make data insights easily accessible and understandable.
- Data Interpretation: Provide recommendations and insights based on data findings to support business strategies and decision-making. Present data findings in a way that is understandable for both technical and non-technical stakeholders.
- Process Improvement: Identify opportunities for process improvements through data analysis and recommend strategies for increasing operational efficiency, reducing costs, and improving performance.
- Data Integrity and Quality: Ensure the consistency, accuracy, and reliability of data through regular data validation and quality checks.
- Continuous Learning: Stay up-to-date with the latest data analysis techniques, tools, and industry best practices. Continuously seek to improve your skill set and contribute to the development of best practices within the organization.
Other
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or equivalent work experience.
- At least 3 years of experience in a data analysis role, with specific experience in commercial lending or financial services environments.
- Excellent communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
- A collaborative mindset, comfortable working with cross-functional teams.
- A proactive, results-driven approach to work
