Senior Data Analyst

Blob Infotech Private Limited; India; Remote; INR 800,000 - 1,200,000; Full time

Job summary

Blob Infotech Private Limited is seeking a skilled analytics professional to develop and enhance credit risk scorecards and risk strategies. You will analyze customer and transaction data to support decisions, while cleaning and preparing large datasets for robust modeling.

The role focuses on data preprocessing, feature engineering, and automating analytics workflows, ensuring accuracy, consistency, and regulatory compliance.

Qualifications

• Experience in analytics or credit risk analytics.
• Strong SQL skills and hands-on experience with Python/PySpark.
• Experience in data preprocessing, feature engineering, and automation.
• Good understanding of credit risk and statistical modelling.
• Strong analytical, problem-solving, and communication skills.
• BFSI, lending, or credit risk experience preferred.

Responsibilities

• Develop and improve credit risk scorecards and strategies.
• Analyze customer and transaction data to support risk decisions.
• Clean, validate, and prepare large datasets for analysis.
• Build features and automate analytics and reporting workflows.
• Ensure data accuracy, consistency, and compliance.
• Present analytical insights to business and risk teams.

Skills

SQL

Python

Data preprocessing

Feature engineering

Automation

Analytical thinking

Communication

Tools

PySpark

Job description

Responsibilities

• Develop and improve credit risk scorecards and strategies.
• Analyze customer and transaction data to support risk decisions.
• Clean, validate, and prepare large datasets for analysis.
• Build features and automate analytics and reporting workflows.
• Ensure data accuracy, consistency, and compliance.
• Present analytical insights to business and risk teams.

Requirements

• Experience in analytics or credit risk analytics.
• Strong SQL skills and hands-on experience with Python/PySpark.
• Experience in data preprocessing, feature engineering, and automation.
• Good understanding of credit risk and statistical modelling.
• Strong analytical, problem-solving, and communication skills.
• BFSI, lending, or credit risk experience is preferred.