High Impact Data Analysis Specialist

2 weeks ago

Solapur, Maharashtra, India beBeeDataAnalysis Full time ₹ 60,00,000 - ₹ 80,00,000
Data Analyst Position Overview

We are seeking a highly skilled Data Analyst to fill this key role. The successful candidate will be responsible for managing and optimizing direct mail marketing performance.

The role requires strong technical skills in data analysis (SQL, Excel) combined with strategic business decision-making. You will interpret historical performance, account for anomalies, and forecast future outcomes with confidence.

  • 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.

Key Responsibilities:

  • Pull and prepare data using SQL to identify target customers for direct mail campaigns.
  • Maintain and monitor performance metrics.
  • Identify and communicate trends, risks, and opportunities to stakeholders.
  • Recommend strategies to improve campaign performance and profitability.
Position Requirements

Mandatory:

  • Experience: Minimum 3 years in consumer lending financial services 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.

Preferred/Plus Factors:

  • Experience with direct mail marketing in a financial services context.
  • Familiarity with credit bureau data and segmentation strategies.

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