Business Operations Analyst II - Fraud

Conduent delivers mission-critical services and solutions for Fortune 100 companies and over 500 governments. The Business Operations Analyst II – Fraud plays a critical role in protecting the organization by transforming transactional data into actionable insights that prevent, detect, and mitigate fraud risk.

Responsibilities:

• Extract, integrate, and organize data from multiple disparate systems to deliver clear, actionable views of operational performance
• Design and develop comprehensive operational dashboards aligned with business objectives, providing insights and recommendations
• Evaluate service levels, staffing models, volumes, policies, procedures, financial performance, audit and compliance requirements, quality metrics, and urgent operational issues; recommend process improvements as needed
• Build and maintain strong working knowledge of the organization’s structure, operational processes, and applicable policies, regulations, and governance requirements
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance
• Identify preventative measures by detecting variances, trends, inconsistencies, and potentially suspicious activity through data analysis
• Partner with stakeholders to understand requirements, gather data from diverse sources, and perform business analysis to deliver quantitative insights via reports, dashboards, and presentations
• Analyze and synthesize qualitative and quantitative data to create compelling narratives and provide strategic recommendations on complex issues
• Translate analytical findings into actionable outcomes, including enhancements to predictive models, operational processes, or policy decisions

Requirements:

• Bachelor's degree in Business Administration, Mathematics, Computer Science, Economics, Statistics, or a related field and one (1) year of relevant experience; or equivalent professional experience with a minimum of three (3) years in a related role
• Advanced proficiency in SAS and SQL, with the ability and willingness to learn additional analytical tools and technologies
• Demonstrated experience designing and developing interactive dashboards, reports, and visualizations using tools such as Power BI or Tableau to effectively communicate insights in a clear, visually compelling manner
• Proven experience evaluating, analyzing, and visualizing large, complex, or disparate datasets
• Maintains a high level of attention to detail to identify anomalies, discrepancies, and potential fraud indicators within transactional data
• Experience in a reporting or business analyst role, supporting leadership teams through metrics, data analysis, and reporting
• Strong data management skills using tools such as Excel and SQL
• Demonstrated experience in fraud detection, prevention, or analysis within a dynamic or fast-paced business environment
• Ability to identify and define data analytics requirements and structure data from multiple source systems to create, maintain, and enhance reporting solutions
• Strong analytical skill set, including data mining, evaluation, interpretation, and visualization
• Experience with technical writing, including development of queries, reports, documentation, and presentations
• Proven ability to present and explain data, findings, and metrics to non-technical audiences
• Excellent written and verbal communication skills
• Familiarity with analytics platforms that incorporate machine learning capabilities
• Have a master's degree, CFE or other recognized fraud certification
• Experience with AI technologies