Senior Data Insights Specialist

1 week ago

Gulbarga, Karnataka, India beBeeMarketing Full time ₹ 15,00,000 - ₹ 20,00,000

Overview

We are seeking a dedicated individual to optimize direct mail marketing performance for our credit bureau partnerships.

This role involves owning the end-to-end targeting and campaign selection process for an assigned bureau, ensuring that customers receive the right offers at the right time – driving response rates, conversion rates, loan volume, and profitability.

You will combine data analysis with strategic business decision-making, requiring strong technical skills, ability to interpret historical performance in context, account for anomalies, and forecast future outcomes with confidence.

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 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 influence credit policy and campaign execution.
  • Weigh trade-offs between targeting breadth, expected performance, and operational constraints.

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.

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