Optimize Your Career as a Data Analyst

2 days ago

Nellore, Andhra Pradesh, India beBeeDataAnalyst Full time ₹ 40,00,000 - ₹ 80,00,000
Business Intelligence Specialist

We are seeking a talented Business Intelligence Specialist to optimize our direct mail marketing performance for credit bureau partnerships.

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

The ideal candidate will have experience in managing portfolio performance and making business-driven credit policy decisions. They should be proficient in SQL, Excel, and Python, with advanced skills in data analysis, data visualization, and communication.

The successful candidate will be responsible for maintaining and monitoring performance metrics, identifying trends, risks, and opportunities, and recommending strategies to improve campaign performance and profitability.

We offer a competitive compensation package and opportunities for professional growth and development.

Key Responsibilities:

  • Campaign Targeting & Selection: Utilize SQL to identify target customers and evaluate historical performance metrics.
  • Pull and prepare data using SQL to analyze campaign performance and select upcoming campaigns based on quantitative data and qualitative business context.
  • Performance Analysis & Optimization: Maintain and monitor performance metrics, identify trends, risks, and opportunities, and recommend strategies to improve campaign performance and profitability.
  • Business Decision-Making: Use data-driven insights to influence credit policy and campaign execution, weighing trade-offs between targeting breadth, expected performance, and operational constraints.

Requirements:

  • 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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