Senior Fraud Data Analyst

🔥 12 hours ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $78.8k - $131.3k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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RELX

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

🔬 Science

Enterprise • Science • Legal

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

📋 Description

• Design and implement methodologies to gather, analyze, and assess risk using customer data • Analyze online transactional data to validate expected performance and generate actionable insights • Evaluate large-scale batch datasets to support quality control processes • Leverage OSINT techniques to conduct investigative research • Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) • Partner with Sales and Solution teams to provide pre- and post-sale support • Manage customer relationships through ongoing analysis and insights • Develop customer-facing presentations and research solutions

🎯 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 • Proficiency 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 skills • Demonstrated research and investigative skills • Experience working with large-scale datasets and customer-facing analytic solution

🏖️ Benefits

• Health insurance • Retirement plans • Annual incentive bonus