Entry-Level Data Analyst, Risk & Analytics

Resumes will not be considered unless they include JEE (Advanced or Main) rank, CAT percentile (if either were taken), or similar standardized test scores

About

We're looking for an entry-level Data Analyst to support analytical needs across Risk, Marketing, Operations, and Finance — pulling data, building reports, and answering ad hoc questions for these teams. This is a rare entry point into analytics: you'll get exposure to nearly every part of how a fintech credit card business runs, from underwriting and fraud to marketing and finance. For someone smart and driven, there's real room to grow well beyond this role.

Responsibilities

• Pull and manipulate data from Redshift using SQL to support requests from Risk, Marketing, Operations, and Finance
• Write and optimize SQL queries against large, sometimes complex datasets, and QA outputs for accuracy before sharing
• Turn around ad hoc data requests quickly, clarifying requirements with stakeholders as needed
• Build and maintain recurring reports and dashboards in Tableau/Metabase across portfolio performance, fraud trends, collections, marketing campaigns, and operational metrics
• Monitor existing dashboards and reports for data quality issues or breaks, and flag or fix them

Requirements

• Must include your JEE (Advanced or Main) rank and/or CAT percentile (if either were taken) in your resume
• Bachelor's degree in a quantitative field (statistics, economics, math, computer science, engineering, or similar) required, or equivalent practical experience; Master's preferred
• Working proficiency in SQL
• Strong attention to detail
• Clear written and verbal communication
• Available to overlap 1-2 hours daily with US Pacific business hours
• Familiarity with AI tools (e.g., ChatGPT, Claude) to support day-to-day analytical work

Entry-Level Data Analyst, Risk & Analytics

Location: Remote (India) Experience: 0-2 years