Data Analyst

Description We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation.

Responsibilities:

• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.
• Develop and implement fraud detection models and algorithms to enhance risk management.
• Investigate suspicious transactions and activities to identify potential fraud cases.
• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.
• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.
• Monitor and refine anti-fraud systems based on emerging threats and trends.
• Conduct research to stay informed about new fraud schemes and data analysis techniques.
• Ensure data integrity and accuracy while working with sensitive information.
• Provide actionable insights that help drive business decisions and improve operational efficiency. Requirements
• Proven experience in data analysis with a focus on fraud detection and prevention.
• Strong proficiency in fraud analytics tools and techniques.
• Familiarity with anti-fraud methodologies and investigative practices.
• Ability to analyze complex datasets and derive meaningful insights.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to present findings effectively to diverse audiences.
• Knowledge of data visualization tools and reporting software.
• Bachelor's degree in a relevant field such as data science, statistics, or business analytics.

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