Note: The job is a remote job and is open to candidates in USA. Bright Matrix Global is seeking a Lead Data Analyst to perform deep-dive exploratory analytics and data discovery. The role involves collaborating with various teams to design fraud solutions, refine data processes, and provide strategic recommendations on analytical paths.

Responsibilities

• Perform deep-dive exploratory analytics and data discovery to identify anomalies, trends, and potential indicators of internal and external fraud
• Partner closely with Digital Technology (DT) and Governance, Risk, and Compliance (GRC) teams to design and implement technological fraud solutions
• Build, define, and refine unstructured data processes to establish clean workflows and robust documentation for potential fraud handoffs
• Actively provide feedback and strategic recommendations on analytical paths, adapting strategies fluidly when data models or discovery directions need pivot
• Collaborate with stakeholders across procurement, cyber, and finance to map data structures to enterprise-wide fraud risks

Skills

• Proven mid-to-senior level experience in data analytics, data discovery, and advanced data mining
• Strong experience working with fraud analytics, anomaly detection, or forensic data analysis (e.g., procurement fraud, cyber fraud, or financial statement analysis)
• Demonstrated ability to work independently and maintain high performance in an ambiguous, 'greenfield' program environment
• Excellent communication skills with the confidence to propose new methodologies and voice feedback to leadership
• Prior experience in the construction industry or large-scale asset-intensive sectors is highly preferred (though broad industry experience is welcome)

Benefits

• Only W2 NO C2C2 Please

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