Business Analyst - Assistant Manager - Lending Reserve

About this job

Paytm, India's leading financial services company, is hiring a Business Analyst - Assistant Manager - Lending Reserve for a full-time role based in Noida, Uttar Pradesh. The company focuses on offering full-stack payments and financial solutions to bring millions of Indians into the mainstream economy. The lending analytics team manages the entire personal loan funnel, handling everything from lead generation to disbursal. In this position, a normal day involves monitoring funnel performance across various lending partners, designing and maintaining real-time dashboards using Looker, building threshold-based alerting systems, conducting cohort-level performance analysis, and partnering with operations and risk teams to improve approval rates, conversion, and disbursal volumes.

Responsibilities

• Monitor the personal loan funnel across multiple partners by tracking drop-off, conversion, and approval rates.
• Perform cohort-level analysis to spot underperforming stages and refine approval logic with the risk team.
• Design and maintain real-time Looker dashboards for cross-functional stakeholders.
• Build threshold-based alerting systems to detect funnel anomalies and deviations proactively.
• Collaborate with call center operations to build data-driven prioritization models for better outreach.
• Analyze drop-off points to recover lost users and handle ad-hoc data requests.
• Automate recurring reports and manual workflows to enhance team efficiency.

Requirements

• 2 to 5 years of experience working as a Data Analyst or Business Analyst in fintech, lending, or consumer-tech.
• Strong SQL skills with a working knowledge of Python for basic data analysis.
• Hands-on experience with dashboarding and BI tools such as Looker or Power BI.
• Solid understanding of statistics and ability to turn data into business narratives.
• Comfort collaborating cross-functionally with risk, growth, product, and operations teams.

Good to have

• Experience analyzing lending, credit, or BNPL funnels.
• Bonus experience using AI tools like ChatGPT or Claude to automate analytical workflows.
• Experience with Google Apps Script and Spark.
• Experience influencing external lender risk criteria using data.
• Exposure to call center operations and resource-allocation modeling.

Who should apply

This role best suits analytical professionals with two to five years of experience in fintech, lending, or consumer-tech environments who excel at SQL and dashboarding. Candidates should enjoy collaborating with cross-functional teams like risk, product, and operations to optimize lending funnels. Freshers are not eligible to apply since the position specifically requires prior professional experience.

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