Data Analyst
Data Analyst
Refined job description
ROLE
– Prepare dashboards and MIS reports for leadership review
– Track performance of collection agencies and field executives
– Monitor portfolio health and highlight risk areas proactively
– Identify trends in defaults and suggest corrective actions
– Support segmentation of customers based on risk and repayment behavior
– Provide insights for improving recovery strategies and allocation models
– Analyze effectiveness of collection campaigns and initiatives
– Identify inefficiencies in collection processes and recommend improvements
– Work with tech/product teams to automate reports and dashboards
– Improve data accuracy, validation, and standardization across systems
– Coordinate with field collection teams for data validation and insights
– Work with finance for reconciliation of collected vs outstanding amounts
– Support management with ad-hoc analysis and decision-making inputs
– Ensure data integrity and confidentiality
– Maintain proper documentation of reports and analysis frameworks
– Adhere to company policies and regulatory requirements
REQUIREMENTS
– Bachelor’s degree in Statistics, Mathematics, Economics, Finance, or related field
– 1–4 years of experience in data analysis, preferably in collections, NBFC, fintech, or lending domain
– Working knowledge of SQL
– Strong analytical and problem-solving mindset
– Attention to detail and accuracy
– Ability to work with cross-functional teams
– Good communication and presentation skills
– Experience in EV, battery financing, NBFC, or asset-based lending
– Exposure to field collection operations data
– Familiarity with CRM or loan management systems
BENEFITS
– As per industry standards
– Exposure to core lending and recovery analytics
– Opportunity to move into strategy, risk analytics, or operations leadership roles
Full job description
Analyze daily, weekly, and monthly collection data (DPD buckets, recovery %, roll rates, etc.) Prepare dashboards and MIS reports for leadership review Track performance of collection agencies and field executives Monitor portfolio health and highlight risk areas proactively | Analyze daily, weekly, and monthly collection data (DPD buckets, recovery %, roll rates, etc.) | Prepare dashboards and MIS reports for leadership review | Track performance of collection agencies and field executives | Monitor portfolio health and highlight risk areas proactively | Identify trends in defaults and suggest corrective actions Support segmentation of customers based on risk and repayment behavior Provide insights for improving recovery strategies and allocation models Analyze effectiveness of collection campaigns and initiatives | Identify trends in defaults and suggest corrective actions | Support segmentation of customers based on risk and repayment behavior | Provide insights for improving recovery strategies and allocation models | Analyze effectiveness of collection campaigns and initiatives | Identify inefficiencies in collection processes and recommend improvements Work with tech/product teams to automate reports and dashboards Improve data accuracy, validation, and standardization across systems | Identify inefficiencies in collection processes and recommend improvements | Work with tech/product teams to automate reports and dashboards | Improve data accuracy, validation, and standardization across systems | Coordinate with field collection teams for data validation and insights Work with finance for reconciliation of collected vs outstanding amounts Support management with ad-hoc analysis and decision-making inputs | Coordinate with field collection teams for data validation and insights | Work with finance for reconciliation of collected vs outstanding amounts | Support management with ad-hoc analysis and decision-making inputs | Ensure data integrity and confidentiality Maintain proper documentation of reports and analysis frameworks Adhere to company policies and regulatory requirements | Ensure data integrity and confidentiality | Maintain proper documentation of reports and analysis frameworks | Adhere to company policies and regulatory requirements | Collection efficiency (%) Recovery rate across delinquency buckets Reduction in NPA / overdue accounts Accuracy and timeliness of MIS reporting Improvement in roll-back rates (higher bucket to lower bucket movement) | Collection efficiency (%) | Recovery rate across delinquency buckets | Reduction in NPA / overdue accounts | Accuracy and timeliness of MIS reporting | Improvement in roll-back rates (higher bucket to lower bucket movement) | Bachelor’s degree in Statistics, Mathematics, Economics, Finance, or related field MBA / PG in Analytics or Finance (preferred) | Bachelor’s degree in Statistics, Mathematics, Economics, Finance, or related field | MBA / PG in Analytics or Finance (preferred) | 1–4 years of experience in data analysis, preferably in collections, NBFC, fintech, or lending domain | 1–4 years of experience in data analysis, preferably in collections, NBFC, fintech, or lending domain | Strong proficiency in Excel (advanced functions, pivot tables, dashboards) Working knowledge of SQL Understanding of collection metrics (DPD, PAR, NPA, roll rates) | Strong proficiency in Excel (advanced functions, pivot tables, dashboards) | Working knowledge of SQL | Understanding of collection metrics (DPD, PAR, NPA, roll rates) | Strong analytical and problem-solving mindset Attention to detail and accuracy Ability to work with cross-functional teams Good communication and presentation skills | Strong analytical and problem-solving mindset | Attention to detail and accuracy | Ability to work with cross-functional teams | Good communication and presentation skills | Experience in EV, battery financing, NBFC, or asset-based lending Exposure to field collection operations data Familiarity with CRM or loan management systems | Experience in EV, battery financing, NBFC, or asset-based lending | Exposure to field collection operations data | Familiarity with CRM or loan management systems | As per industry standards Performance-driven incentives (if applicable) | As per industry standards | Performance-driven incentives (if applicable) | Exposure to core lending and recovery analytics Opportunity to move into strategy, risk analytics, or operations leadership roles | Exposure to core lending and recovery analytics | Opportunity to move into strategy, risk analytics, or operations leadership roles
