Snapmint - Data Analyst - Python/SQL

7 days ago


Mumbai, India Snapmint Full time

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)


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