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Data Analyst

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Onsite

Data Analyst

Pointo

Data Analyst

Skills

SQL QueriesE-commerce WebsitesTableauPythonRPostgreSQLMySQLData AnalysisMetabasedbtCRMZoho CRMApache AirflowPower BI

1 month ago

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Important information


Location:

Karnataka, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


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: Strong 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

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