Bright Matrix Global

Lead Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Analyst on a W2 contract for "X months" with a pay rate of "$X/hour". Key skills include fraud analytics and data mining. Prior experience in the construction industry is highly preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Compliance #Anomaly Detection #Data Analysis #Leadership #Data Mining #Documentation
Role description
Only W2 NO C2C2 Please Key Responsibilitie • sPerform 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 .Qualification • sProven 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) .