Data Analyst

Job description

Key Skills: Data Analyst, SQL, Python, Fraud Analysis, Fraud Detection Roles and Responsibilities: • Build and maintain operational reports and KPI dashboards for business and risk teams. • Analyze large datasets using Python and SQL to identify trends, anomalies, and process gaps. • Integrate and reconcile data from APIs and third-party systems for reporting and analysis. • Support fraud, claims, cargo loss, and asset protection analysis through structured data reviews. • Partner with cross-functional teams to improve data quality, reporting consistency, and analytical outputs. Skills Required: • 4 - 6 years of relevant experience in data analysis or reporting. • Strong hands-on experience with Python and SQL for data analysis and reporting. • Experience building KPI frameworks and operational reporting for business stakeholders. • Ability to work with integrated datasets from APIs and third-party sources. • Experience handling analytical datasets in e-commerce, logistics, supply chain, fraud, risk, or claims environments. Good to Have: • Fraud Analysis • Fraud Detection • Experience working in Agile delivery environments Education: Bachelor's degree in a relevant discipline such as Engineering, Computer Science, Statistics, Mathematics, or Business Analytics.