نبذة عني
Data Analyst with 2+ years of experience at Flipkart in a high-volume e-commerce environment, supporting data analysis, reconciliation, data validation, KPI reporting, and process automation. Skilled in SQL, PL/SQL, Pyth…
Data Analyst with 2+ years of experience at Flipkart in a high-volume e-commerce environment, supporting data analysis, reconciliation, data validation, KPI reporting, and process automation. Skilled in SQL, PL/SQL, Python, Advanced Excel, Power BI, and QlikView, with experience analyzing large datasets, identifying anomalies and data-quality issues, performing root-cause analysis, and developing automated reporting solutions. Experienced in operational and financial analytics, stakeholder communication, and delivering data-driven solutions for recurring and ad-hoc business requirements. Basic knowledge of Machine Learning concepts.
الخبرة
Data Analyst
<p>Analyzed high-volume operational and financial datasets using SQL and PL/SQL to identify anomalies, discrepancies, reconciliation gaps, and recurring data-quality issues.</p><p> Performed root-cause analysis on receivables-to-payment matching issues and developed automated PL/SQL solutions using analytical window functions to track running totals and improve reconciliation accuracy.</p><p> Designed multi-tier data-quality validation logic, including Invoice-to-Payment and Credit-to-Debit matching, to ensure accurate, consistent, and auditable analytical outputs.</p><p> Automated audit reporting using Oracle UTL FILE and maintained structured issue tracking through ServiceNow to support timely investigation and resolution of data issues.</p><p> Reduced manual reconciliation effort by approximately 40 hours per month through automation and improved data-validation controls.</p><p> Profiled, cleaned, and validated high-volume datasets from internal ledgers, external payment gateways, and tax deduction records to identify anomalies, inconsistencies, and data-completeness issues.</p><p> Developed dynamic netting and reconciliation calculations to identify Excess/Short cases and support KPI, operational, and financial reporting.</p><p> Investigated data discrepancies and communicated root-cause findings to business and technical stakeholders to support remediation and month-end closure activities.</p><p> Prepared analytical reports and ad-hoc data extracts to support business decision-making and operational monitoring.</p><p> Reduced manual review effort by approximately 20 hours per month through automated reconciliation and improved data-quality controls.</p>
المشاريع
B2C Payment Reconciliation & Data Quality Automation
<p>Developed and supported a data reconciliation and validation solution for high-volume B2C payment data using SQL and PL/SQL. Analyzed data from internal ledgers, payment gateways, and tax-related records to identify anomalies, discrepancies, and Excess/Short cases. Performed root-cause analysis on data mismatches, implemented validation and reconciliation logic, and automated reporting processes to improve data accuracy and reduce manual review effort. Worked with business and technical stakeholders to investigate issues and support operational and month-end reporting.</p>