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.
Valuable 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.

📌 Data Analyst_102407 (Chennai)
🏢 MyCareernet
📍 Chennai