Wsfsbank · Philadelphia, PAPrepare for this interview
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Job Description NewLane Finance is a commercial equipment finance company serving small and mid-sized businesses nationwide. Our mantra is "business lending done right". Our strategy is to revolutionize small business lending by employing the latest technology and a motivated workforce to deliver fair and transparent financing solutions to businesses with unmatched levels of speed, convenience, and customer service. Our products and services are primarily offered to the business community through financing programs with equipment manufacturers, distributors, and dealers. NewLane Finance is a Wilmington Savings Fund Bank (WSFS) subsidiary, a $24B financial organization. Job Summary : NewLane Finance is seeking a Data Reporting Analyst who will perform a wide variety of data gathering and analytics driven roles. This person will also use data analytics and reporting to help deepen management's insights towards strengthening overall credit, account servicing and pricing analytics. Essential Functions: Data Collection and Cleaning: Collect, clean, and preprocess large datasets to ensure accuracy and reliability for analysis. Analysis and Interpretation: Conduct exploratory data analysis to identify trends, patterns, and correlations. Interpret findings to provide meaningful insights to support business objectives. Report Generation: Develop and generate regular reports for various departments, summarizing key metrics and highlighting areas for improvement. Database Management: Assist in maintaining and updating databases, ensuring data integrity and accessibility for analysis. Collaboration: Collaborate with cross-functional teams to understand business requirements and tailor analytical approaches to address specific challenges. Tools and Technologies: Utilize data analysis tools and programming languages (e.g., Tableau, AI, Excel) to extract, transform, and analyze data effectively. Problem Solving: Identify and troubleshoot data-related issues, proposing effective solutions to enhance data quality and reliability. Continuous Learning: Stay abreast of industry trends, best practices, and emerging technologies in data analysis to enhance skills and contribute to team growth.
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