Data Analyst

Position Overview

a highly business-savvy Data Analyst

end-to-end targeting and campaign selection process

hands-on data analysis

Key Responsibilities

• Campaign Targeting & Selection

• Pull and prepare data using SQL to identify target customers for direct mail campaigns.
• Evaluate historical performance metrics such as response rate, approval rate, conversion rate, loan size, and payment performance.
• Make informed selections for upcoming campaigns based on a combination of quantitative data and qualitative business context.

• Performance Analysis & Optimization

• Maintain and monitor performance metrics.
• Identify and communicate trends, risks, and opportunities to stakeholders.
• Recommend strategies to improve campaign performance and profitability.

• Business Decision-Making

• Use data-driven insights to directly influence credit policy and campaign execution.
• Weigh trade-offs between targeting breadth, expected performance, and operational constraints.

Position Requirements

Mandatory:

• Experience:

  Minimum

  3 years

  in a consumer lending financial services company managing portfolio performance and making business-driven credit policy decisions.

• Business Acumen:

  Proven track record of interpreting data within a business context to make high-impact decisions.

• Technical Skills:

• SQL

  – Proficiency in writing complex queries to extract and manipulate large datasets.

• Excel

  – Advanced skills, including pivot tables, calculated fields, and data visualization.

• Python

  – Ability to run underwriting (UW) and response rate models to score customer populations for direct mail targeting.

• Analytical Skills:

  Ability to identify performance drivers, isolate anomalies, and develop actionable recommendations.

• Communication:

  Strong verbal and written English skills for presenting findings to non-technical stakeholders.

Preferred/Plus Factors:

• Experience with

  direct mail marketing

  in a financial services context.
• Familiarity with credit bureau data and segmentation strategies.
• Understanding of consumer credit products, including installment loans and lines of credit.