Snapmint - Data Analyst - Python/SQL

About The Role

Snapmint is seeking a detail-oriented and analytical Data Analyst with strong proficiency in SQL and Python, and hands-on experience in preparing and validating data for credit bureau submissions.The ideal candidate will play a key role in ensuring high data quality, accuracy, and compliance with regulatory and credit bureau requirements.

Key Responsibilities

• Extract, clean, and analyze data using SQL and Python for internal and external reporting.
• Prepare, validate, and submit credit bureau data files (e.g., Equifax, Experian, TransUnion) in accordance with bureau formats and timelines.
• Perform data quality checks to ensure completeness, accuracy, and consistency before submission.
• Collaborate with compliance, credit, and engineering teams to resolve data discrepancies or logic issues in reporting.
• Maintain documentation of reporting processes, validation rules, and submission logs.
• Automate repetitive data preparation and validation processes where possible.
• Monitor bureau feedback and rejection reports; lead root-cause analysis and remediation.
• Support internal audits, regulatory exams, and data governance initiatives related to bureau reporting.
  

Required Qualifications

• Bachelor's degree in Computer Science, Data Analytics, Statistics, Finance, or a related field.
• 3-4 years of experience in Banking or Fintech/NBFC idustry.
• Prior experience into lending.
• Proficient in SQL ability to write complex queries and handle large datasets.
• Experience in Python for data wrangling, validation, and automation (e.g., using pandas, NumPy).
• Prior experience in preparing credit bureau submissions or working with consumer credit data.
• Strong attention to detail and analytical thinking.
• Familiarity with data validation frameworks and reporting standards.
• Good communication skills and the ability to collaborate with cross-functional teams.
  

Location : Mumbai (Vidyavihar).
Working Days : 5 days working.(ref:hirist.tech)