Data Analyst

The interview process typically starts with a timed online aptitude test focusing on quantitative, logical, and data interpretation questions. Successful candidates move to a technical interview where they are evaluated on SQL queries, Python/R coding, statistical concepts, and case‑study based problem solving. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate, and thorough preparation of core analytics concepts and practical coding helps candidates perform well.

EaseMyTrip.com promotes a collaborative culture where employees are encouraged to experiment and share ideas. The company offers flexible work hours, regular learning sessions, and clear growth pathways, ensuring a healthy work‑life balance while driving personal development.

Graduates (B.Tech/B.E., B.Sc., M.Sc.) in Statistics, Mathematics, Computer Science, Information Technology or related fields; minimum 60% aggregate or 6.0 CGPA; batch years 2025‑2027 acceptable; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL, Python/R, case studies, data modeling) → Round 3: HR Interview

EaseMyTrip.com is one of India’s leading online travel agencies, offering flight, hotel, bus and holiday bookings to millions of customers every year. Founded in 2008, the company has built a robust technology platform that aggregates travel data from airlines, hotels, and third‑party providers to deliver seamless booking experiences. With a strong focus on customer satisfaction and innovation, EaseMyTrip has expanded its services across the country and continues to invest heavily in data‑driven decision making to stay ahead of the competition. As a Data Analyst, you will become a pivotal part of the analytics engine that powers the business. You will work closely with marketing, sales, product, and customer support teams to turn raw travel data into actionable insights that influence pricing, demand forecasting, and service optimization. The role offers a blend of hands‑on data engineering, statistical modeling, and storytelling through visual dashboards, providing a solid foundation for a career in analytics within the fast‑growing travel tech sector. **Key Responsibilities** 1. Gather, clean, and integrate data from multiple internal and external sources ensuring high data quality. 2. Perform statistical analysis to uncover trends, seasonality, and anomalies in booking patterns. 3. Build predictive models for demand forecasting and price optimization using machine learning techniques. 4. Design and maintain interactive dashboards in Tableau or PowerBI for stakeholders across the organization. 5. Generate regular performance reports on key metrics such as conversion rates, customer churn, and revenue per user. 6. Collaborate with cross‑functional teams to define analytics requirements and translate business problems into data solutions. 7. Monitor the impact of data‑driven initiatives and recommend iterative improvements. 8. Conduct ad‑hoc analysis to support urgent business decisions and strategic planning. 9. Ensure database security, compliance, and efficient query performance. 10. Document analytical processes and maintain reproducible code bases. **Tech Stack**: SQL, Python/R, Tableau/PowerBI, Hadoop/Spark, Git, AWS (S3, Redshift), statistical libraries (pandas, scikit‑learn, statsmodels). **Growth Path**: Starting as a junior analyst, you can progress to Senior Analyst, Analytics Lead, and eventually to roles such as Data Scientist or Analytics Manager, with opportunities to lead large‑scale projects and influence product strategy. **Why Join EaseMyTrip.com?** The company offers a vibrant, fast‑paced environment where fresh ideas are welcomed. You will gain exposure to massive travel datasets, work with seasoned professionals, and have clear avenues for skill development and career advancement. The blend of business impact and technical challenge makes this role an excellent launchpad for aspiring data professionals.