IndiGo - Manager - Operations Analytics

Description:

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 airlines network.

This role involves comprehensive performance monitoring, strategic process improvements, predictive risk management, and cross-functional coordination to enhance on-time performance.

Qualifications & Experience:

- Bachelors or masters 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:

- 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.