Data Analyst (Bureau)

Job Description

About Snapmint Snapmint is a leading fintech company redefining access to consumer credit in India. With over 10 million customers across 2,200+ cities, our zero-cost EMI platform enables responsible purchases without the need for a credit card across categories like fashion, electronics, and lifestyle. India has over 300 million credit-eligible consumers, yet fewer than 35 million actively use credit cards. Snapmint addresses this gap by offering a trusted, transparent alternative grounded in financial inclusion and ethical lending practices. Founded in 2017, Snapmint is a profitable, high-growth company doubling year-on-year. Our founding team?alumni of IIT Bombay and ISB?brings deep experience from Oyo, Ola, Maruti Suzuki, and prior successful ventures in ad-tech, patent analytics, and bank-tech. We are building the future of responsible consumer finance?simple, transparent, and customer-first. 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