Data Analyst
# Data Analyst **Pointo** · Bengaluru, Karnataka · `On-site` 🕒 **Статус:** *Опубликовано: вчера* · *Источник: Indeed* --- ### About the Role 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
Наблюдалась 2026-09-15, впервые 2026-09-14, источник — Indeed.