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Mid-level metro data role with generalist tooling and broad requirements increases applicant competition.
Role demands airline network-planning domain knowledge alongside analytics, making industry fit moderately important.
Explicit years plus required statistical tools and customer-facing delivery skills make screening moderately strict.
Lead independent delivery of data-driven projects for multiple airlines, focusing on network planning challenges.
Leverage statistical methods and programming (R/Python/SQL/SAS) to solve complex business problems and automate repetitive workflows.
Collaborate with product owners and teams to improve product quality and support team members through innovation and knowledge sharing.
Master’s degree in quantitative disciplines or MBA/M.E./M.Tech with minimum 2 years relevant experience; or Bachelor’s degree (B.E./B.Tech preferred) with minimum 3 years relevant experience.
Strong proficiency in statistical programming tools such as SQL, SAS, R, or Python.
Experience in handling complex business requirements, data extraction and cleansing from diverse data sources (xml, txt, xls, sql).
Excellent communication, customer management skills, and ability to manage multiple projects concurrently.
Experienced in airline industry network planning and analytics, ideally with 2-3 years industry exposure.
Capable of end-to-end automation of workflows with solid framework development skills.
Able to translate complex quantitative analyses into clear, actionable business insights and communicate them effectively.