Data Analyst - ETL/Python

About the job

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.

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.

- 2-3 years of experience in Fintech/ NBFC

- 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