Lead Data Insights Specialist

3 days ago

Kota, Rajasthan, India beBeeData Full time ₹ 9,00,000 - ₹ 12,00,000
Business Data Analyst

The position of Business Data Analyst is a pivotal role in the company, requiring an individual with exceptional data analysis skills and business acumen.

As a Business Data Analyst, you will be responsible for managing and optimizing direct mail marketing performance for credit bureau partnerships.

You will own the targeting and campaign selection process, ensuring the right customers receive the right offers at the right time.

Combining data analysis with strategic decision-making, you will require technical skills and business insight to drive informed decisions.

Key Responsibilities:

  • Campaign Targeting & Selection: Utilize SQL to pull and prepare data, identifying 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 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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