Data Analyst – Fraud Strategy

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

📋 Description

• Integrate data related to fraud detection, prevention, and realized-loss to elucidate the scale, drivers, and business implications of fraud across various products, channels, and customer journeys.

• Transform complex operational and analytical insights into compelling narratives, presentations, and actionable recommendations for senior leadership and business stakeholders.

• Utilize approved AI tools to expedite the synthesis, drafting, and audience-specific communication, ensuring human oversight.

• Create and sustain dashboards and scorecards that track metrics such as fraud volumes, prevented losses, realized losses, recovery, customer friction, operational workload, and control outcomes.

• Automate repetitive data preparation, quality assurance, and reporting workflows wherever suitable.

• Analyze fraudulent activities and operational outcomes to pinpoint significant trends, root causes, emerging risks, and shifts in business exposure.

• Assess and quantify the revenue, loss, costs, customer, and operational impacts of fraud and fraud control measures.

• Define metrics, implement validation checks, document processes, and establish reconciliation practices for reporting datasets and AI-assisted outputs.

• Safeguard sensitive data while ensuring its accuracy, relevance, and alignment with business context.

• Collaborate with teams such as Fraud Strategy, Operations, Loyalty, Digital Technology, Customer Insights, Sales, and others to synchronize metrics and translate insights into actionable strategies.

⛳️ Requirements

• Bachelor's degree preferred in Business Analytics, Data Analytics, Finance, Economics, Statistics, Information Systems, or a related quantitative or business discipline; equivalent experience is acceptable.

• A minimum of 2 years of relevant experience in fraud analytics, business intelligence, operational analytics, financial analysis, risk analytics, ECDLP, or a related field.

• Capability to quantify business impacts, generate clear data visualizations, and convert analytical insights into succinct recommendations for both technical and non-technical audiences.

• Proficiency in utilizing approved generative AI and automation tools while validating their outputs.

• SQL expertise and experience in reconciling, analyzing, and interpreting extensive operational datasets.

• Must possess legal authorization to work in the United States for any employer without sponsorship.

• Successful completion of an interview is required to fulfill job qualifications.

• Dependable and punctual attendance is a crucial aspect of this role.

• Preferred: Master's degree.

• Preferred: Experience in producing executive-ready reports, presentations, and narratives for senior business stakeholders.

• Preferred: Background in fraud, retail, e-commerce, airline, financial services, or other high-volume customer environments.

• Preferred: Understanding of fraud operations, loss prevention, customer experience metrics, financial measurement, or operational performance management.

• Preferred: Experience with enterprise AI assistants, natural-language analytics, or workflow automation.

• Preferred: Proficiency in Tableau, Power BI, Looker, or similar visualization and reporting platforms.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Parental leave.

• 401(k) plan.

• Travel opportunities and flight privileges based on availability.

• Medical, dental, and vision insurance.

• Life, accident, and disability insurance.

• Employee assistance program.

• Commuter benefits.

• Paid holidays.

• Paid time off.

• Bonus and/or long-term incentive compensation awards.

• Employee-led Business Resource Group communities.

• Reasonable accommodations for applicants and employees with disabilities.