Manager- Operations Analytics

10 years

0 Lacs

Posted:22 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role/ Designation: Manager- Operations AnalyticsLocation: GurugramBrief about the roleThe Manager- Operations Analytics plays a pivotal role in ensuring operational excellence by driving punctuality across the airline’s network. This role involves comprehensive performance monitoring, strategic process improvements, predictive risk management, and cross-functional coordination to enhance on-time performance.

Qualifications & Experience

Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.8–10 years of experience in data engineering, data science, or a hybrid analytics role.Strong analytical mindset with a problem-solving attitude.Excellent communication skills to present findings to technical and non-technical audiences.Skills & KnowledgeProgramming: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch preferred)Data Visualization: Power BI, Matplotlib, SeabornData Management: SQL, SSMS, data warehousing conceptsMachine Learning: Supervised/unsupervised learning, NLP, model evaluationTools & Platforms: Power Automate, Power Apps (preferred), Git, Jupyter NotebooksJob responsibility
  • Performance Monitoring & Analysis
Monitor daily, weekly, and monthly OTP metrics across stations, routes, and fleets.
Conduct root-cause analysis of delays and disruptions using data from OCC, engineering, crew, and airport systems.Develop and maintain performance dashboards and reports for senior management.Benchmark OTP performance against competitors and industry standards.
  • Process Improvement & Coordination
Lead turnaround optimization initiatives in coordination with AOCS, Engineering, Flight Operations, and Network Planning.
Identify systemic delay causes and design process improvements to mitigate them.Support decision-making during irregular operations (IROPS) and weather disruptions.Standardize delay coding and reporting processes across the network.
  • Predictive & Preventive Actions
Develop predictive models (using AI/ML, where applicable) to forecast delay risks and propose mitigation measures.
Coordinate with airports, ground handlers, and ATC to ensure proactive resource planning and readiness.Create early-warning systems for high-risk flights or congested airports.
  • Stakeholder & Communication Management
Chair daily OTP review calls with operations, commercial, and engineering teams.
Drive accountability by publishing delay summaries and performance scorecards.Present monthly OTP performance reviews to senior leadership and external partners (airports, regulators, etc.).
  • Data, Systems & Innovation
Collaborate with IT/Analytics to enhance data pipelines, dashboards, and OTP monitoring tools.
Introduce automation and AI-driven insights for predictive delay management.Partner with airports and external agencies on joint performance initiatives (A-CDM, turnaround efficiency, etc.).

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