Business Analyst (Fintech)

Mantras2Success

Pune District

On-site

INR 900,000 - 1,500,000

Full time

3 days ago
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Job summary

Mantras2Success seeks a data-driven Business Analyst to analyze the digital lending funnel and provide actionable insights to management. You will collaborate with multiple teams to track KPIs, prepare MIS, and build dashboards that drive improvements in underwriting and disbursement.

The role requires 2–5 years of analytics experience in fintech, strong Excel skills, and the ability to translate data into business decisions, with effective communication across functions.

Qualifications

  • Graduate/MBA preferred; candidates from Business Analytics, Finance, Economics, Statistics, or related backgrounds will be preferred.
  • 2–5 years of relevant experience in Business Analysis, Data Analysis, MIS, or Business Operations, preferably within Fintech, NBFC, Digital Lending, or Personal Loans.
  • Strong proficiency in Advanced Excel / Google Sheets.
  • Strong analytical and problem-solving skills with the ability to convert data into actionable business insights.
  • Good understanding of business KPIs, funnel analysis, portfolio metrics, and performance reporting.
  • Working knowledge of SQL is preferred.
  • Experience with Power BI or other reporting tools will be an added advantage.
  • Strong communication and cross-functional coordination skills.
  • Ability to work independently in a fast-paced, data-driven fintech environment.

Responsibilities

  • Analyze the complete digital lending funnel to identify trends, gaps, and improvement opportunities.
  • Analyze business and operational data to provide actionable insights to management.
  • Prepare and maintain regular MIS, dashboards, and business performance reports.
  • Track key business KPIs related to application volumes, approval rates, disbursement, loan size, repayment, collections, delinquency, bounce, and portfolio performance.
  • Perform customer and loan-level data analysis to identify trends, anomalies, and business opportunities.
  • Analyze portfolio and operational performance across different products, customer segments, channels, and business parameters.
  • Work closely with Business, Operations, Risk, Underwriting, Collections, Product, and Technology teams to understand business requirements and identify process gaps.
  • Conduct root-cause analysis for business and operational issues and recommend data-driven solutions.
  • Evaluate the impact of changes in credit policies, processes, products, or business rules on overall business performance.
  • Support management with ad-hoc analysis, business reviews, performance tracking, and decision-making reports.
  • Identify opportunities for process improvement and automation to improve operational efficiency and reduce manual effort.
  • Coordinate with cross-functional teams for implementation and tracking of business/process changes.
  • Ensure accuracy and consistency of data across reports, dashboards, and different business sources.

Skills

Advanced Excel
Google Sheets
Analytical skills
Problem-solving
KPI analysis
Cross-functional coordination
SQL knowledge
Power BI

Education

MBA
Business Analytics
Finance
Economics
Statistics

Tools

Power BI
SQL

Job description

Key Responsibilities:
  • Analyze the complete digital lending funnel, including registration, application, underwriting, approval, and disbursement, to identify trends, gaps, and improvement opportunities.
  • Analyze business and operational data to provide actionable insights to management.
  • Prepare and maintain regular MIS, dashboards, and business performance reports.
  • Track key business KPIs related to application volumes, approval rates, disbursement, loan size, repayment, collections, delinquency, bounce, and portfolio performance.
  • Perform customer and loan-level data analysis to identify trends, anomalies, and business opportunities.
  • Analyze portfolio and operational performance across different products, customer segments, channels, and business parameters.
  • Work closely with Business, Operations, Risk, Underwriting, Collections, Product, and Technology teams to understand business requirements and identify process gaps.
  • Conduct root-cause analysis for business and operational issues and recommend data-driven solutions.
  • Evaluate the impact of changes in credit policies, processes, products, or business rules on overall business performance.
  • Support management with ad-hoc analysis, business reviews, performance tracking, and decision-making reports.
  • Identify opportunities for process improvement and automation to improve operational efficiency and reduce manual effort.
  • Coordinate with cross-functional teams for implementation and tracking of business/process changes.
  • Ensure accuracy and consistency of data across reports, dashboards, and different business sources.
Required Skills & Qualifications:
  • Graduate/MBA preferred; candidates from Business Analytics, Finance, Economics, Statistics, or related backgrounds will be preferred..
  • 2–5 years of relevant experience inBusiness Analysis, Data Analysis, MIS, or Business Operations, preferably withinFintech, NBFC, Digital Lending, or Personal Loans..
  • Strong proficiency inAdvanced Excel / Google Sheets..
  • Strong analytical and problem-solving skills with the ability to convert data into actionable business insights..
  • Good understanding of business KPIs, funnel analysis, portfolio metrics, and performance reporting..
  • Working knowledge ofSQLis preferred..
  • Experience with Power BI or other reporting tools will be an added advantage..
  • Strong communication and cross-functional coordination skills..
  • Ability to work independently in a fast-paced, data-driven fintech environment..
Preferred Candidate Profile:
  • Candidates with hands-on experience in Digital Lending, STPL, Personal Loans, Consumer Lending, Fintech, or NBFCs will be preferred.
  • Candidates should have strong exposure to business performance analysis, lending funnel analysis, MIS/reporting, data-driven decision-making, and process improvement.
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