Strategic Data Insights Manager

4 days ago

Varanasi, Uttar Pradesh, India beBeeData Full time ₹ 9,00,000 - ₹ 12,00,000
Job Description

We are seeking a highly skilled data expert to manage and optimize direct mail marketing performance for our partnerships.

In this role, you will own the end-to-end targeting and campaign selection process, ensuring the right 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 and 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 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 financial services context.
  • Familiarity with credit bureau data and segmentation strategies.

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