Lead Data Analyst (Fraud Investigations & Data Discovery)

• Posted 2 hours ago • Updated 2 hours ago
Contract W2
On-site
USD60 - USD65/hr
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Skills

  • Lead Data Analyst (Fraud Investigations & Data Discovery)

Summary

job summary:

Randstad is seeking a Lead Data Analyst to join the Enterprise Fraud Risk Management team for a major transit and infrastructure client based in Washington, DC. In this fully remote role, you will act as a foundational member of a rapidly growing program, utilizing exploratory analytics and data discovery to hunt for anomalous patterns across more than 180 identified fraud risks-including procurement, cyber, and financial statement fraud. This is an ideal opportunity for a proactive data professional who thrives in a highly dynamic, unstructured environment, enjoys building data discovery processes from scratch, and wants to directly influence how the enterprise identifies and hands off potential fraud vectors for formal investigation.





location: Washington, Washington, D.C.

job type: Contract

salary: $60 - 65 per hour

work hours: 9am to 5pm

education: Bachelors



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.




qualifications:

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).




Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxsapwma1
  • Position Id: 1336777
  • Posted 2 hours ago
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