Business Analyst (non-IT)-SR

This role involves hands-on data analysis, SQL querying, Python/Excel analysis, credit strategy development, and potentially dashboard creation using Tableau or Power BI. Location: Columbus, OH preferred;Salt Lake City, UT and Delaware/Chadds Ford, PA will also be considered in that order(Hybrid Role - Required To Be Onsite Once A Week).

Job Title: Senior Credit & Loss Analytics Analyst
Location: Columbus, OH preferred;Salt Lake City, UT and Delaware/Chadds Ford, PA will also be considered in that order(Hybrid Role - Required To Be Onsite Once A Week)
Work Hours: 8: 00 AM –5: 00 PM EST, Monday –Friday
Duration: 6+ months Contract with the potential of extension
 
Role Overview:
The Credit Management team is seeking a Senior Analyst who will focus specifically on Home Improvement underwriting and credit risk analytics. This role involves hands-on data analysis, SQL querying, Python/Excel analysis, credit strategy development, and potentially dashboard creation using Tableau or Power BI.
 
Key Responsibilities:

• Analyze Home Improvement credit risk and underwriting practices and recommend enhancements.
• Develop and assess new account acquisition and credit strategies to support profitable growth.
• Analyze historical performance and recommend improvements to credit limits, approvals/declines, and loan terms.
• Write and optimize SQL queries to extract and analyze credit and risk data.
• Use Python, Excel, SAS, and/or R for data analysis and reporting.
• Develop reports and insights on key credit risk and loss metrics.
• Handle ad-hoc analytical requests and investigate credit-related issues.
• Present findings and recommendations to Credit Risk Leadership and business stakeholders.
• Collaborate with Lead Analysts, the hiring manager, Brand Strategy, Client Partnership, and other teams.
• Ensure credit policies and procedures align with regulatory requirements and internal standards.
• Create dashboards and visualizations using Tableau, Power BI, or similar tools as needed.

 Top 3 Must-Haves:

1. Strong SQL skills.
2. Experience in Home Improvement lending/underwriting.
3. Strong analytical/credit risk background.

Nice to Have:

• Experience presenting analytical findings to senior leadership.
• Python experience.
• Tableau, Power BI, or dashboarding experience.
• SAS and/or R experience.
• Experience with credit cards or other unsecured consumer lending.

 
Minimum Qualifications:

• Bachelor’s degree in Finance, Business, Economics, Mathematics, Statistics, or another quantitative field.
• 5+ years of analytical experience focused on credit cards, consumer lending, or related credit risk areas.
• Strong analytical and presentation skills.

Preferred Qualifications:

• Master’s degree in Finance, Business, Economics, or a quantitative field.
• 6+ years of experience with SAS/SQL, Python, and/or R.
• Strong experience in credit risk, consumer lending, and underwriting analytics.