Sr. Fraud Data Analyst (Remote USA)

RELX•Home based-North Carolina, NC

3d•$74,900 - $157,500•Remote

About The Position

The Sr Fraud Analyst will be responsible for providing investigative and analytical support our clients, leveraging all of LexisNexis Risk Solutions products and Services. This position will be an individual contributor reporting to the Civilian SIU Sr Manager. This role can be remote in the US with the ability to support EST as needed.

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 preferred
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, with a demonstrated ability to apply structured logic to complex problems
Demonstrated research and investigative skills, including the ability to synthesize information and resolve ambiguous issues
Experience working with large-scale datasets and customer-facing analytic solutions
Strong organizational, prioritization, and project management skills, with the ability to manage multiple workstreams effectively
Excellent interpersonal and communication skills, with the ability to engage both technical and non-technical stakeholders
Self-motivated and adaptable, with the ability to work both independently and collaboratively in a team environment
US Citizenship required

Nice To Haves

Experience with OSINT techniques and tools preferred
Familiarity with LexisNexis solutions or similar data platforms preferred
Willingness to travel up to 25%

Responsibilities

Design and implement methodologies to gather, analyze, and continuously assess risk using customer data and LexisNexis public records, supporting government entities in identifying and mitigating fraud risk within the Social Services domain
Analyze online transactional data to validate expected performance, identify trends and anomalies, and generate actionable insights for internal and external stakeholders, including detection of suspicious or potentially fraudulent behavior
Evaluate large-scale batch datasets to support quality control (QC) processes, identify patterns and trends, and surface actionable leads to ensure optimal solution performance
Leverage OSINT (Open-Source Intelligence) techniques to conduct investigative research and support customer-driven fraud investigations
Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction, transformation, and advanced analysis
Partner with Sales and Solution teams to provide pre- and post-sale support, including solution design, product education, implementation guidance, and best practices
Manage and strengthen customer relationships through ongoing analysis and insights delivered throughout the lifecycle of engagements
Develop and contribute to customer-facing presentations, translating complex analytical findings into clear, compelling narratives
Research and recommend alternative approaches to help customers achieve cost-effective and optimized solutions
Investigate and resolve data quality and QC issues, ensuring accuracy and reliability of outputs
Identify and drive process improvement opportunities to enhance analytical efficiency, scalability, and quality
Lead or contribute to special projects and strategic initiatives as assigned