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Manager - Operations Strategy & Analytics
United Airlines
Gurugram, IND
Full-time
Manager
Discovered 1 weeks ago
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Description
Description
At United, we fly into airports around the entire world. And we need a whole team of people to keep things running in tip-top shape! From the exceptional service at the check-in counter to the departure gate, and even behind the scenes making sure your checked bags arrive with you, our Airport Operations team keeps operations at our airports running smoothly every single day. Job overview and responsibilities
The AO Business Strategy & Analytics team equips NOC and Airport Operations leaders with timely, data-driven insights that improve operational performance, strengthen decision-making, and support enterprise priorities. The team analyzes complex operational drivers, translates data into meaningful business narratives, and partners across functions to identify opportunities that enhance reliability, readiness, planning, and execution.
This role requires a strong combination of analytical depth, technical expertise, business acumen, and leadership capability. The successful candidate will work with large and complex datasets, apply advanced analytics and statistical methods, develop scalable reporting and data solutions, and communicate insights through clear visualizations and practical recommendations.
In this leadership position, the candidate will engage with senior leaders and cross-functional stakeholders to understand business needs, frame analytical opportunities, and deliver solutions that drive measurable operational impact. The role also includes managing priorities, developing team members, and advancing the use of modern analytics, automation, AI, and data governance practices across the organization.
Design and deliver data-driven solutions to address complex operational and business challenges across NOC and Airport Operations
Lead advanced analyses of large operational datasets to identify trends, root causes, performance drivers, and opportunities to improve reliability, readiness, planning, and execution
Develop scalable analytical solutions using SQL, Databricks, Python, statistical modeling, optimization techniques, machine learning, and AI/LLM-enabled tools
Champion integrated data solutions that connect operational data with broader enterprise datasets and enable analysts to use trusted, well-documented data assets
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