Lead Analyst- Data Engineering

IndiGo; Gurugram District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

IndiGo is seeking a Lead Analyst (Data Engineering) to optimize crew utilization, modeling rosters, and enhance operational efficiency at Gurugram. The role demands 5–6 years in data analytics and strong Python/SQL skills with dashboard experience (Power BI).

You will collaborate with Flight Operations, OCC, Planning, and Analytics to drive data-driven decisions, while delivering scalable, production‑ready analytics and insights to leadership.

Qualifications

• Bachelor’s degree in Engineering, Mathematics, Statistics, Aviation, or a related field.
• 5–6 years of experience in data analytics/science, business analysis & operations analysis.
• Exposure to automation, continuous improvement, or cost-optimization initiatives is an advantage.

Responsibilities

• Build optimization and simulation models to improve crew utilization and roster efficiency.
• Run scenario analyses to support workforce planning decisions.
• Design and automate dashboards tracking KPIs for manpower and flight ops.
• Own MIS and management reporting, translating analyses into actionable insights.
• Collaborate with data teams to ensure data quality and scalable analytics.
• Automate repetitive analytics and ensure production readiness of solutions.
• Partner with cross‑functional teams to drive data-driven decisions.

Skills

Analytical thinking

Python programming

SQL proficiency

Power BI / data visualization

Statistics knowledge

Communication & stakeholder mgmt

Education

Bachelor's degree in Engineering / related field

Tools

Python

SQL

Power BI

Excel

Scikit-learn

TensorFlow

Job description

Role/ Designation: Lead Analyst (Data Engineering) (Band-B)

Location: Gurugram

Qualifications & Experience

Bachelor’s degree in Engineering, Mathematics, Statistics, Aviation, or a related field.5–6 years of experience in data analytics/science, business analysis & operations analysisExposure to automation, continuous improvement, or cost-optimization initiatives is an advantage.

Skills & Knowledge

Strong analytical and problem-solving skills.Ability to interpret operational data and derive meaningful insights.Strong communication, stakeholder management, and documentation skills.Solid foundation in statistics, data preprocessing, feature engineering, and model evaluation.Strong programming skills in Python (data analysis, modeling, automation); R or Java is an added advantage.Hands‑on experience with ML libraries/frameworks such as Scikit‑learn, TensorFlow, PyTorch, or equivalent.Proficiency in SQL, Power BI, and advanced Excel for analytics and reporting.

Job Description

Optimization & Scenario Modeling

Build and implement optimization and simulation models to enhance crew utilization, pairings, and roster efficiency while ensuring regulatory and operational compliance.Conduct scenario analysis and what-if simulations to evaluate business trade-offs and support strategic workforce planning decisions.

Operational Performance & Reporting

Design, automate, and maintain dashboards (Power BI / SQL-based) tracking KPIs related to manpower, flight operations, delays, OTP, and utilization.Own MIS and management reporting, translating analytical outputs into clear insights and recommended action plans.Monitor performance of models and analytics solutions and continuously optimize for accuracy and business relevance.

Data Infrastructure & Automation Collaborate with data engineering and IT teams to ensure data availability, quality, security, and scalability.Drive automation of repetitive analytics, reporting, and planning processes using SQL, Python, and visualization tools.Ensure analytics solutions are production‑ready and aligned with enterprise data standards.

Stakeholder Collaboration & Business Partnership

Work closely with cross‑functional teams including Flight Operations, Inflight Services, OCC, Engineering, AOCS, and Planning & Analytics.Act as a thought partner in process redesign, technology implementations, and digital transformation initiatives.Present insights and recommendations to senior leadership, influencing data-driven decision‑making.

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