Data Analyst

IndiGo’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on Python, SQL, and machine‑learning fundamentals. The final HR round assesses cultural fit and communication skills. Candidates find the rounds moderately challenging but fair, with a strong emphasis on problem‑solving ability and clear articulation of analytical approaches.

IndiGo is known for its meritocratic culture where performance is recognized and rewarded. Employees enjoy a balanced work‑life schedule, regular upskilling programs, and clear growth pathways, making it an attractive place for fresh talent to thrive.

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering or related field; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs; graduating batch 2026 (or 2025/2027 for eligible candidates); strong foundation in programming, statistics, and data analysis.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (Data Science & Programming) → Round 3: HR Interview (fitment, communication, and expectations)

IndiGo, officially InterGlobe Aviation Ltd., is India’s largest low‑cost airline and a pioneer in the domestic aviation space. With a fleet of over 300 aircraft and a network that connects more than 100 destinations, IndiGo has built a reputation for punctuality, operational excellence, and a customer‑centric approach. The company’s rapid growth has been driven by a data‑first mindset, where insights from analytics shape route planning, pricing strategies, and customer experience enhancements. As a result, IndiGo invests heavily in building a robust analytics ecosystem, offering fresh talent a chance to work on real‑world problems that impact millions of passengers every day. The Data Analyst role at IndiGo’s Gurgaon office is designed for recent graduates who are passionate about turning raw data into actionable intelligence. You will be part of a cross‑functional team that collaborates closely with product managers, engineers, and business leaders to deliver AI/ML solutions that drive revenue, improve operational efficiency, and enhance decision‑making across the organization. This position offers exposure to end‑to‑end data pipelines, from data ingestion on cloud platforms to model deployment and monitoring in production. Key Responsibilities: 1. Engage with business stakeholders to understand challenges and translate them into analytical problems. 2. Perform exploratory data analysis, data cleaning, and feature engineering on large datasets. 3. Build, train, and validate machine‑learning models using Python libraries such as scikit‑learn, TensorFlow, or PyTorch. 4. Deploy models on cloud environments (Azure/AWS) and set up monitoring dashboards for performance tracking. 5. Create interactive visualisations and dashboards using tools like Power BI or Tableau to communicate insights. 6. Automate repetitive analytical workflows using SQL scripts and Python pipelines. 7. Collaborate with data engineering teams to ensure data quality, reliability, and scalability. 8. Document methodologies, findings, and recommendations for both technical and non‑technical audiences. 9. Stay updated with emerging trends in AI, GenAI, and MLOps to continuously improve solutions. 10. Participate in code reviews and knowledge‑sharing sessions within the analytics community. Tech Stack: Python, SQL, Machine Learning, Statistics, Data Visualization, Deep Learning/GenAI (preferred), Databricks, Snowflake, Azure/AWS (preferred), MLOps tools (Docker, Kubernetes, MLflow). Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Data Scientist, or Analytics Lead roles within 2‑3 years. The airline’s emphasis on internal mobility means you can also transition to product analytics, revenue management, or operations research teams. Why Join IndiGo? You will work in a fast‑paced, data‑driven environment that values innovation and impact. The company offers competitive compensation, continuous learning opportunities, and a culture that encourages collaboration across functions. If you are eager to apply your analytical skills to solve real business problems in the aviation sector, IndiGo provides the platform to accelerate your career.