Data Analyst

HT Digital Streams; Gurugram District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Mint Money, a fintech marketplace by HT Media Group, is seeking a Data Analyst to optimize acquisition, credit matching, and disbursal funnels.

You will work at the intersection of product, marketing, and risk, delivering insights that maximize conversions and partner revenue through SQL, Python, and BI tools.

Qualifications

• 2+ years of data analytics experience in fintech/digital lending.
• Deep understanding of credit risk metrics and bureau variables (CIBIL/Experian).
• Advanced SQL with BigQuery, Snowflake or PostgreSQL.
• Proficient in Python (Pandas, NumPy) for EDA.
• Experience with Tableau/Looker and product analytics tools (Mixpanel, Amplitude, or Firebase).

Responsibilities

• Track end-to-end user journey from score check to loan disbursal and optimize funnel.
• Segment users by credit profiles to build matching algorithms for NBFC/bank products.
• Build real-time dashboards to track CAC, LTV, approval rates, and revenue per disbursal.
• Write optimized SQL queries to manipulate large transactional and bureau data.

Skills

Data analytics

Advanced SQL

Python

Visualization tools

Education

Bachelor's in a related field

Tools

Tableau

Looker

BigQuery

Snowflake

PostgreSQL

Mixpanel

Amplitude

Firebase

Job description

Mint Money (by HT Media Group) is a mobile-first personal finance marketplace. We empower millions of users to track credit health, discover personalized loans, and access credit cards seamlessly through partnerships with leading RBI-registered NBFCs and banks.

Role Overview

As a Data Analyst, you will optimize user acquisition, credit matching, and disbursal funnels. Operating at the intersection of product, marketing, and risk, your insights will directly maximize conversion rates and partner revenue.

Key Responsibilities

• Funnel & Product Analytics: Track the end-to-end user journey (from credit score check to loan disbursal). Identify funnel drop-offs and drive A/B testing to maximize conversion.
• Lending & Credit Segmentation: Segment users based on credit profiles (CIBIL brackets, DTI, repayment history) to build precise matching algorithms for NBFC/bank products.
• Partner & Business Intelligence: Build real-time dashboards (Tableau/Looker) to track core business KPIs: CAC, LTV, approval rates, and revenue per disbursal.
• Data Pipelines: Write highly optimized SQL queries to manipulate massive volumes of transactional and bureau data.

Requirements & Skills

• 2+ years of Data Analytics experience strictly within the Fintech / Digital Lending ecosystem (e.g., consumer lending, B2C credit marketplaces, or NBFC analytics).
• Deep understanding of credit risk metrics, bureau variables (CIBIL/Experian), loan lifecycles, and rejection workflows.
• Advanced SQL: Writing complex queries and window functions (BigQuery, Snowflake, or PostgreSQL).
• Programming: Proficient in Python (Pandas, NumPy) for exploratory data analysis.
• Visualization & Product Tools: Experience with Tableau/Looker and product analytics tools like Mixpanel, Amplitude, or Firebase.

What We Offer

• High-impact role at a fast-scaling Fintech backed by a premier media house.
• Data-driven work culture with direct ownership of product features.