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Tier-1 brand, mid-level generalist analytics role with broad skillset increases candidate competition.
Analytics skills are transferable, but aviation operations domain knowledge raises specificity.
Explicit 6+ years, leadership requirement, and mandatory Databricks/SQL/Python/ML make filters strict.
Lead the design and delivery of advanced data-driven solutions to improve operational performance across Network Operations Center (NOC) and Airport Operations.
Manage and mentor analytics teams while advancing the use of automation, AI/LLM tools, and modern data platforms to streamline workflows and accelerate delivery.
Engage with senior leaders and cross-functional stakeholders to translate complex data into actionable business insights that drive measurable operational improvements.
Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, Analytics, or related quantitative discipline.
6+ years of experience in analytics, data science, operations research, or related analytical field.
2+ years of experience leading analytics projects, managing cross-functional initiatives, or guiding analytical teams/AI-enabled solutions.
Hands-on experience with Databricks, SQL, Python, Microsoft Power BI, and AI/LLM tools (e.g., Copilot, ChatGPT).
Experienced leader capable of managing multiple priorities and stakeholders in fast-paced, complex operational environments.
Strong technical proficiency combined with business acumen, able to translate data analytics into clear, executive-level communications and recommendations.
Demonstrated ability to implement scalable analytics and automation solutions that improve operational reliability, readiness, and planning.