Fraud Data Analyst

Roles and Responsibilities : Analyze complex data sets to identify trends, patterns, and anomalies related to fraudulent activities. Develop and maintain databases, reports, and dashboards using SAS and SQL to track key performance indicators (KPIs) for fraud prevention. Collaborate with cross-functional teams to design and implement effective fraud detection strategies based on analysis findings. Provide insights and recommendations to stakeholders on how to improve fraud risk management processes. Job Requirements : 5-10 years of experience in data analysis or a related field with expertise in fraud analytics. Strong proficiency in SAS programming language for data manipulation, analysis, and visualization. Experience working with large datasets using SQL queries for querying, joining, and aggregating data. Roles and Responsibilities : Analyze complex data sets to identify trends, patterns, and anomalies related to fraudulent activities. Develop and maintain databases, reports, and dashboards using SAS and SQL to track key performance indicators (KPIs) for fraud prevention. Collaborate with cross-functional teams to design and implement effective fraud detection strategies based on analysis findings. Provide insights and recommendations to stakeholders on how to improve fraud risk management processes. Job Requirements : 5-10 years of experience in data analysis or a related field with expertise in fraud analytics. Strong proficiency in SAS programming language for data manipulation, analysis, and visualization. Experience working with large datasets using SQL queries for querying, joining, and aggregating data.