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REQUIREMENT_ID_71 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company Indigo
Type
Opportunity Type Internship
Salary
Stipend / Salary 5 LPA
Location
Location Gurgaon
Posted Date
Posted Date Sep 04, 2026
Python SQL Data Visualization Statistics Machine Learning Excel Problem Solving Communication Tableau PowerBI
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Aptitude Practice Questions Open Resource β†—
Comprehensive set of quantitative and logical reasoning problems to prepare for the online test.
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Company Interview Preparation Guide Open Resource β†—
Curated interview experiences and tips that help candidates understand the typical questions asked by Indigo.
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Indigo Data Analyst Interview Guide Open Resource β†—
Role‑specific preparation material covering analytics concepts, case studies and past interview questions for Indigo.
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Algorithm and Data Structure Problem Set Open Resource β†—
Extensive collection of coding problems to sharpen programming skills required for technical rounds.

Graduates (B.Tech/B.E., B.Sc., M.Sc.) in Computer Science, Information Technology, Statistics, Mathematics, Engineering or related fields; Minimum 60% aggregate (or CGPA 6.0/10); Freshers from batch 2025‑2027; No active backlogs at the time of joining; Must be eligible to work in India.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (Data Analytics)
3
Round 3: HR Interview
Indigo, officially known as InterGlobe Aviation Ltd., is India’s largest low‑cost carrier and has consistently been recognized for its operational efficiency, on‑time performance and customer‑centric approach. With a fleet of over 250 aircraft serving more than 80 domestic and international destinations, the airline has built a data‑driven culture to optimise everything from route planning to passenger experience. The company’s rapid growth creates a fertile ground for fresh talent to contribute to strategic decisions that shape the future of Indian aviation. The Data Analyst role at Indigo is designed for fresh graduates who are passionate about turning raw data into actionable insights. As a member of the analytics team, you will work closely with product managers, business stakeholders and data engineers to understand complex business problems and deliver data‑centric solutions that drive revenue, improve operational efficiency and enhance customer satisfaction. This position offers a unique blend of analytical rigor and business exposure, making it an ideal launchpad for a career in data science and analytics. Key Responsibilities: 1. Collaborate with business units to define problem statements and translate them into analytical projects. 2. Extract, clean, and transform large datasets from multiple sources using SQL and Python. 3. Perform exploratory data analysis to uncover trends, patterns and anomalies. 4. Build and validate predictive models (regression, classification, clustering) to support decision‑making. 5. Develop interactive dashboards and visualisations using Tableau/PowerBI for stakeholder consumption. 6. Deploy models into production environments and monitor their performance over time. 7. Document methodology, code and findings to ensure reproducibility and knowledge sharing. 8. Communicate insights and recommendations clearly through presentations and reports. 9. Participate in cross‑functional meetings to align analytics initiatives with business goals. 10. Stay updated with emerging tools and techniques in data science and suggest improvements to existing workflows. Tech Stack: Python (pandas, scikit‑learn), R, SQL, Tableau, PowerBI, Git, AWS (S3, EC2, SageMaker), Excel. Growth Path: Junior Data Analyst β†’ Data Analyst β†’ Senior Data Analyst β†’ Data Scientist β†’ Analytics Manager β†’ Head of Analytics. Indigo encourages continuous learning through internal training programs, certifications and mentorship, enabling rapid career progression for high‑performers. Why Join Indigo? You will be part of a fast‑growing airline that values data‑driven decision making, offering exposure to real‑world problems that impact millions of passengers. The role provides a collaborative environment, competitive compensation, and a clear roadmap for professional development, making it an excellent starting point for aspiring data professionals.

Indigo β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Indigo Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Indigo and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, SQL, Data Visualization, Statistics, Machine Learning, Excel, Problem Solving, Communication, Tableau, PowerBI) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Indigo Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Indigo as a Data Analyst?
Preparation Tip: Highlight Indigo's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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