Data Analyst

IndiGo’s interview process typically begins with a timed online assessment focusing on quantitative aptitude and basic programming. The technical round dives deep into data‑science fundamentals, case‑study discussions, and problem‑solving on real‑world airline scenarios. The final HR round assesses cultural fit, communication skills, and motivation. Candidates should practice data‑analysis case studies and be ready to discuss projects confidently.

IndiGo promotes a performance‑driven culture where speed and simplicity are valued. Employees enjoy a collaborative environment, ample learning opportunities, and a balanced work‑life schedule supported by flexible policies.

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering or related field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2023‑2025; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Round 1: Online Assessment (aptitude + technical coding) → Round 2: Technical Interview (ML concepts, case studies) → Round 3: HR Interview (fitment and motivation)

IndiGo, officially known as InterGlobe Aviation Ltd., is India's largest low‑cost carrier and a pioneer in the domestic aviation space. Founded in 2006, the airline has built a reputation for punctuality, operational efficiency, and a customer‑centric approach. With a fleet of over 300 aircraft and a network that spans more than 80 destinations, IndiGo continues to expand its footprint while maintaining a strong focus on technology and data‑driven decision making. The company’s culture emphasizes speed, simplicity, and safety, encouraging employees to innovate and deliver tangible business impact. The Data Analyst role at IndiGo sits at the heart of this data‑centric transformation. As a fresher joining the analytics team in Gurgaon, you will be responsible for turning raw operational and commercial data into actionable insights that shape route planning, revenue management, and customer experience initiatives. The position offers a unique blend of business exposure and technical depth, allowing you to work closely with senior data scientists, product managers, and operations leaders. Key Responsibilities: 1. Collaborate with business stakeholders to understand problem statements and translate them into analytical projects. 2. Extract, clean, and preprocess large datasets from sources such as flight operations, ticketing, and loyalty programs. 3. Engineer robust features and build predictive models using machine learning techniques. 4. Deploy models on cloud platforms, monitor performance, and iterate for continuous improvement. 5. Visualise findings through dashboards and reports that drive strategic decisions. 6. Conduct exploratory data analysis to uncover hidden patterns and trends. 7. Document methodology, code, and results to ensure reproducibility and knowledge sharing. 8. Participate in cross‑functional meetings with data engineering, product, and business teams. 9. Stay updated with emerging AI/ML tools and propose innovative solutions. 10. Assist in automating repetitive analytical workflows to improve efficiency. Tech Stack: Python, SQL, Machine Learning libraries (scikit‑learn, TensorFlow), Data Visualization (PowerBI/Tableau), Cloud services (Azure/AWS), Databricks, Snowflake, MLOps tools. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Analytics Manager within 2‑3 years, gaining exposure to strategic projects and leadership responsibilities. Why Join IndiGo? The airline offers a fast‑paced environment where data directly influences millions of passengers' journeys. Fresh graduates receive mentorship from industry veterans, access to cutting‑edge tools, and a clear career ladder. Moreover, IndiGo’s commitment to work‑life balance, employee well‑being, and continuous learning makes it an attractive launchpad for a data‑driven career.