Manager- Operations Analytics

4 days ago

Gurgaon, Haryana, India IndiGo (InterGlobe Aviation Ltd) Full time

Role/ Designation: Manager- Operations Analytics

Location: Gurugram

Brief about the role

The 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 & Knowledge

Programming: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch preferred)

Data Visualization: Power BI, Matplotlib, Seaborn

Data Management: SQL, SSMS, data warehousing concepts

Machine Learning: Supervised/unsupervised learning, NLP, model evaluation

Tools & Platforms: Power Automate, Power Apps (preferred), Git, Jupyter Notebooks

Job 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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