Commercial Data Analyst
About The Position
The Commercial Data Analyst will be responsible for collecting, analyzing, and interpreting data to help drive decision-making that supports strategic objectives in Commercial Lending. This role demands a detail-oriented professional who thrives on turning complex data sets into insights that inspire operational improvements. The ideal candidate will have strong analytical skills, a keen eye for detail, and the ability to work with large datasets to uncover trends, patterns, and insights. This position reports to the Director of Commercial Optimization.
Requirements
- 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.
- 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.
- Excellent communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
- Detail-oriented, with a commitment to ensuring data accuracy and integrity.
- Strong analytical thinking and critical problem-solving skills.
- Ability to work independently and manage multiple tasks effectively.
- A collaborative mindset, comfortable working with cross-functional teams.
- A proactive, results-driven approach to work
- Exceptional verbal and written communication skills
- Proficient in Microsoft Office applications
Nice To Haves
- Experience with nCino or SalesForce is a plus
- Knowledge of loan origination systems (nCino or SalesForce preferred)
- 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.
- Collaboration with Teams: Work closely with business leaders, product teams, marketing, finance, and other departments to understand data needs and provide analytical support to optimize business processes.
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Industry
Credit Intermediation and Related Activities
Number of Employees
501-1,000 employees
