Remotery

Senior Fraud Data Analyst

atRELXUS flagUnited StatesFull-timeData AnalystSenior$78.8k – $131.3k/year

Posted May 14

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and execute methodologies to collect, analyze, and consistently evaluate risk utilizing customer data and LexisNexis public records, aiding government entities in recognizing and reducing fraud risk within the Social Services sector.

• Examine online transaction data to confirm anticipated performance, uncover trends and anomalies, and produce actionable insights for both internal and external stakeholders, including the identification of suspicious or potentially fraudulent activities.

• Assess large-scale batch datasets to facilitate quality control (QC) processes, detect patterns and trends, and highlight actionable leads to guarantee optimal solution performance.

• Utilize OSINT (Open-Source Intelligence) techniques to perform investigative research and assist in customer-driven fraud inquiries.

• Create and sustain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction, transformation, and advanced analysis.

• Collaborate with Sales and Solution teams to provide support before and after sales, including solution design, product education, implementation guidance, and best practices.

• Cultivate and enhance customer relationships through ongoing analysis and insights provided throughout the engagement lifecycle.

• Develop and contribute to customer-facing presentations, converting complex analytical findings into clear and compelling narratives.

• Investigate and propose alternative strategies to assist customers in achieving cost-effective and optimized solutions.

• Examine and resolve data quality and QC challenges, ensuring the accuracy and reliability of outputs.

• Identify and pursue process improvement opportunities to boost analytical efficiency, scalability, and quality.

• Lead or participate in special projects and strategic initiatives as assigned.


⛳️ Requirements

• Bachelor’s degree in Intelligence, Criminal Justice, Fraud Analysis, Data Analytics, or a related field.

• 5+ years of professional experience in data analysis, fraud investigation, or intelligence analysis; prior experience supporting government clients is preferred.

• Proficient in data analysis and visualization tools, including Excel, Power BI, and PowerPoint.

• Experience with programming and querying languages, such as SQL (e.g., MySQL), Python, or R.

• Strong analytical and critical thinking abilities, demonstrated through the application of structured logic to complex problems.

• Proven research and investigative skills, including the capability to synthesize information and tackle ambiguous issues.

• Experience working with large-scale datasets and customer-facing analytic solutions.

• Excellent organizational, prioritization, and project management capabilities, able to manage multiple workstreams effectively.

• Exceptional interpersonal and communication skills, capable of engaging both technical and non-technical stakeholders.

• Self-motivated and adaptable, with the capability to work independently and collaboratively within a team environment.

• Familiarity with OSINT techniques and tools is preferred.

• Knowledge of LexisNexis solutions or similar data platforms is preferred.

• Willingness to travel up to 25%.


🏝️ Benefits

• Country-specific benefits.

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