Senior Analyst - Insider Threat (Remote)

United Airlines•Chicago, IL

1d•$112,480 - $146,540•Remote

About The Position

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!

Requirements

Bachelor's degree required (Cybersecurity, Information Technology, Computer Science majors preferred)
3+ years in STEM-related field
Strong experience with insider threat detection methodologies, behavioral analytics, and risk indicators
Proven ability to design, tune, and operationalize detection logic to improve alert quality and reduce noise
Experience working with DLP, UEBA, or related telemetry to identify and investigate insider risk activity
Analytical mindset with ability to translate investigation outcomes into detection improvements
Understanding of data classification, data movement patterns, and exfiltration techniques
Ability to measure and improve detection effectiveness (i.e., alert fidelity, actionable alert rate)
Strong collaboration and communication skills to influence cross-functional stakeholders
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

Nice To Haves

Master's degree
Certifications such as CISA, Security +
Hands-on experience with DLP platforms, insider risk tools, or detection engineering workflows
Experience using Splunk for Insider Threat
Familiarity with M365 / Purview, endpoint telemetry, or cloud activity monitoring
Experience building metrics or KPIs to track detection performance and program maturity
Knowledge of automation or scripting to support detection tuning and scaling

Responsibilities

Design, build, and continuously refine insider threat detection logic, use cases, and analytics to improve signal quality.
Focus on reducing false positives and increasing the percentage of actionable insider threat alerts.
Lead triage and investigation of insider threat alerts, applying structured methodologies to assess risk.
Translate investigation outcomes into detection improvements, ensuring a continuous feedback loop between operations and engineering.
Develop and implement a scalable detection strategy aligned to key insider threat risks (i.e., data exfiltration, employee exit risk, misuse).
Identify gaps and prioritize new detection use cases to expand coverage and effectiveness.
Conduct proactive threat hunting using behavioral, endpoint, and data activity signals to identify emerging insider risks.
Translate findings into new detection use cases and improvements to existing detection logic.
Partner with Data Protection, Legal, HR, and Cyber teams to ensure detections are risk-aligned, context-aware, and operationally actionable.
Incorporate business context and investigation requirements into detection design to improve alert fidelity and response effectiveness.