Data Analyst - Fraud Strategy (Remote)

United Airlines•Chicago, IL

2d•$89,965 - $117,212•Remote

About The Position

The Analyst – Fraud Data provides fraud business intelligence, analysis and storytelling that explains how fraud affects customers, operations, revenue and enterprise risk. The role integrates data on fraud detected, prevented and realized to quantify exposure, control outcomes, customer friction and financial impact. The analyst uses approved AI and automation tools to accelerate analysis, identify patterns, summarize findings, create reporting content and improve recurring workflows, with human validation and data-governance controls. The position develops clear narratives, dashboards and executive insights that connect fraud trends to business priorities and support enterprise decision-making. It partners with Fraud Strategy, Operations, Loyalty, Digital Technology, Customer Insights, Sales and other teams to align metrics, interpret results and turn insights into action.

Requirements

Bachelor's degree; equivalent experience accepted.
At least 2 years of relevant experience in fraud analytics, business intelligence, operational analytics, financial analysis, risk analytics, ECDLP or a related discipline.
Ability to quantify business impact, create clear data visualizations and translate findings into concise recommendations for technical and non-technical audiences.
Ability to use approved generative AI and automation tools to improve analytical, reporting and documentation productivity while validating outputs.
SQL proficiency and experience reconciling, analyzing and interpreting large operational datasets.
Legally authorized to work in the United States for any employer without sponsorship.
Successful completion of an interview.
Reliable, punctual attendance; attendance is an essential function of the position.

Nice To Haves

Master's degree.
Educational background in Business Analytics, Data Analytics, Finance, Economics or a related discipline.
Experience developing executive-ready reporting, presentations and narratives for senior business stakeholders.
Experience with fraud, retail, e-commerce, airline, financial services or another high-volume customer environment.
Knowledge of fraud operations, loss prevention, customer experience metrics, financial measurement or operational performance management.
Experience with enterprise AI assistants, natural-language analytics or workflow automation.
Experience with Tableau, Power BI, Looker or a comparable visualization and reporting platform.

Responsibilities

Integrate fraud detected, prevented and realized-loss data to explain fraud scale, drivers and business implications across products, channels and customer journeys.
Translate analytical findings into clear narratives, presentations and recommendations for senior leaders and business stakeholders.
Use approved AI tools to accelerate synthesis, drafting and audience-specific communication, with human review.
Develop and maintain dashboards and scorecards covering fraud volumes, prevented loss, realized loss, recovery, customer friction, operational workload and control outcomes.
Automate recurring data preparation, quality checks and reporting workflows where appropriate.
Analyze fraud activity and operational results to identify material trends, root causes, emerging risks and changes in business exposure.
Quantify the revenue, loss, cost, customer and operational effects of fraud and fraud controls, including tradeoffs between risk reduction and customer experience.
Establish consistent definitions, validation checks, documentation and reconciliation practices for fraud metrics, reporting datasets and AI-assisted outputs.
Protect sensitive data and validate the accuracy, bias and business context of AI-assisted outputs.
Partner with cross-functional teams to align metrics, interpret results and turn insights into action.