Role Overview

We are looking for a detail-oriented and analytical data analyst to build dashboards, reports, and analytics that drive business decisions across our operations. You'll work with SQL, BI tools, and cross-functional teams to deliver insights on collections efficiency, payment operations, and customer metrics.

Key Responsibilities

Core Analytics &

- Reporting

- Build and maintain dashboards and reports for Collections, Payments, Customer Onboarding, and Risk teams

- Create KPI tracking systems for daily/weekly/monthly reporting on collection status, payment success rates, and funnel metrics

- Develop automated reporting solutions to replace manual processes and reduce operational overhead

- Provide ad-hoc analysis to support business decisions and identify trends

Data Quality &

- Integration

- Own data quality across key systems (Collections, Payments, CRM, Payment Gateways)

- Audit and reconcile data across sources (Zoho, Payment Gateways, NBFC systems, EMI/Check processing)

- Identify and escalate data gaps and inconsistencies to Engineering

- Document data schemas, definitions, and data lineage for stakeholders

Analytics for Core Operations

- Support Collections team: build visibility into payment failure patterns, collection protest trends, and anomalies

- Support Risk/Credit team: analyze credit assessment gaps, onboarding funnel drop-offs, and customer lifecycle metrics

- Support Finance: reconcile vendor payments, identify discrepancies, and trace payment flows for audit trails

- Analyze Onboarding funnel performance and track improvement against targets

Data Infrastructure &

- Optimization





- Work with Engineering to improve data ingestion pipelines and reduce manual data maintenance

- Identify data scalability risks (e.g., cost drivers, query performance) and recommend optimizations

- Contribute to data warehouse/lake design decisions and ETL improvements

Mandatory Requirement (Critical)

- SQL Expertise: Write complex queries, optimize query performance, work with relational databases (PostgreSQL, MySQL, or similar)

- BI proficiency — Tableau, Metabase, Data Studio, Power BI, or equivalent

- Data Storytelling: Create clear, actionable dashboards and communicate findings to non-technical stakeholders

- Data Validation: Experience identifying data quality issues, performing audits, and reconciling data across systems

- Platforms: Zoho CRM, Payment gateways, internal dashboards

- Problem-solving mindset — break ambiguous questions into actionable analysis

Qualifications &

- Experience

- 4 years of experience in data analysis, analytics engineering, or business intelligence

- Proven track record building dashboards and reports that drive business decisions

- Experience working directly with SQL databases in a production environment

Preferred Profile

- Experience in fintech, payments, lending, or collections: Experience with lending platforms, payment systems, or NBFC operations

- OR equivalent: Robust domain knowledge in B2B SaaS, e-commerce, or operations analytics where you've worked with complex financial workflows

- Proficiency in Python or R

- Familiarity with data warehousing (dbt, Airflow) or APIs

- Background in risk analytics or credit assessment

📌 Data Analyst (Bengaluru)
🏢 Pointo
📍 Bengaluru