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.