Pay
In line with similar jobs
$90K–$117K against $94.4K–$145K, the middle half of what similar US postings state.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Chicago, Illinois, United States
Actively hiring, first seen by us 6 hours agoPost Expiration 11/26/2026 The base pay range for this role is $89,965.00 to $117,212.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.Read the full posting
Must be legally authorized to work in the United States for any employer without sponsorship
2+ years of relevant experience in fraud analytics, business intelligence, operational analytics, financial analysis, risk analytics, ECDLP or a related discipline
Experience with fraud, retail, e-commerce, airline, financial services or another high-volume customer environment
Demonstrated ability to quantify business impact, create clear data visualizations and translate analytical findings into concise recommendations for technical and non-technical audiences
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
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
What’s needed to succeed (Minimum Qualifications): - Bachelor's degree. with preference for Business Analytics, Data Analytics, Finance, Economics, Statistics, Information Systems or a related quantitative or business field; equivalent experience accepted - 2+ years of relevant experience in fraud analytics, business intelligence, operational analytics, financial analysis, risk analytics, ECDLP or a related discipline
What will help you propel from the pack (Preferred Qualifications): - Master's degree - Business Analytics, Data Analytics, Finance, Economics or a related discipline
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$90K–$117K against $94.4K–$145K, the middle half of what similar US postings state.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 5 and day 43.
At United Airlines, jobs usually come down by about day 10.
From 14,537 similar postings that came down, and 229 of United Airlines’s. Coming down is not always a hire.
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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 - Must be legally authorized to work in the United States for any employer without sponsorship
- 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 - Tableau, Power BI, Looker or comparable visualization and reporting platform experience Post Expiration 11/26/2026
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Connecting People. Uniting the World. There’s never been a more exciting time to join United Airlines! As a global company that operates in hundreds of locations around the world — with millions of customers and tens of thousands of employees — we have a unique responsibility to uplift and provide opportunities in the places where we work, live and fly.
We’re on a path to becoming the best airline in aviation history. Join our Cybersecurity and Digital Risk (CDR) team to help lead the industry in cyber safety, security and resilience. United's CDR team plays a critical role in protecting our operations by enabling secure and resilient systems, managing threats and vulnerabilities, and ensuring swift response and recovery. Our mission is to seamlessly embed cybersecurity and digital risk management into every aspect of our business. We help drive progress and growth through trusted digital solutions, safeguarding assets and empowering our team, all while promoting a cyber-safe and secure environment that supports resilient airline operations.
United offers a competitive benefits package aimed at keeping you happy, healthy, and well-traveled. From employee-run "Business Resource Group" communities to world-class benefits like parental leave, 401(k), and privileges like space-available travel, United is truly a one-of-a-kind place to work. Are you ready to travel the world and help us keep our airline cyber safe? Apply today!
Job Overview and Responsibilities
The Analyst – Fraud Data provides fraud business intelligence, analysis and storytelling that explains how fraud affects customers, operations, revenue and enterprise risk. This role integrates operational data on fraud detected, prevented and realized to quantify exposure, control outcomes, customer friction and financial impact. The Analyst uses approved artificial intelligence and automation tools to accelerate analysis, identify patterns, summarize findings, develop reporting content and improve the productivity and consistency of recurring workflows, with appropriate human validation and data-governance controls. The individual in this position develops clear narratives, dashboards and executive insights that connect fraud trends to business priorities and support informed decisions across the enterprise.
Fraud Business Impact Intelligence:
- Integrate fraud detected, prevented and realized-loss data to explain the scale, drivers and business implications of fraud across products, channels and customer journeys
Executive Storytelling & Insights:
- Translate complex operational and analytical findings into clear narratives, presentations and recommendations tailored to senior leaders and business stakeholders; use approved AI tools to accelerate synthesis, drafting and audience-specific communication with human review
Operational Performance Reporting:
- 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
Trend & Root-Cause Analysis:
- Analyze shifts in fraud activity and operational results to identify material trends, root causes, emerging risks and changes in business exposure; use approved AI-assisted methods to accelerate exploration, pattern identification and summarization
Financial & Customer Impact Measurement:
- Quantify the revenue, loss, cost, customer and operational effects of fraud and fraud controls, including tradeoffs between risk reduction and customer experience
Data Quality, Reporting Governance & Responsible AI:
- Establish consistent definitions, validation checks, documentation and reconciliation practices for fraud performance metrics, reporting datasets and AI-assisted outputs; protect sensitive data and validate accuracy, bias and business context
Cross-Functional Business Partnership:
- Partner with Fraud Strategy, Operations, Loyalty,
- Digital Technology, Customer Insights, Sales and other teams to align metrics, interpret results and turn insights into action
What’s needed to succeed (Minimum Qualifications):
- Bachelor's degree. with preference for Business Analytics, Data Analytics, Finance, Economics, Statistics, Information Systems or a related quantitative or business field; equivalent experience accepted
- 2+ years of relevant experience in fraud analytics, business intelligence, operational analytics, financial analysis, risk analytics, ECDLP or a related discipline
- Demonstrated ability to quantify business impact, create clear data visualizations and translate analytical 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
- Must be legally authorized to work in the United States for any employer without sponsorship
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
- Master's degree
- Business Analytics, Data Analytics, Finance, Economics or a related discipline
- 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
- Tableau, Power BI, Looker or comparable visualization and reporting platform experience
Post Expiration 11/26/2026
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Post Expiration 11/26/2026 The base pay range for this role is $89,965.00 to $117,212.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
Chicago, Illinois, United States
Working pattern and location restrictions need checking in the full posting.
- SQL proficiency and experience reconciling, analyzing and interpreting large operational datasets - Must be legally authorized to work in the United States for any employer without sponsorship - Successful completion of interview required to meet job qualification