Data Analyst

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.