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E
EngineeringNew💼 FullTime

Data Analyst at EaseMyTrip.com

EaseMyTrip.com
5 hours ago
Location

India

Salary

Competitive salary package

Apply By

ASAP

Views

7

Eligible Batches

🎓 2026 Batch🎓 2024 Batch🎓 2025 Batch

Job Description

Join EaseMyTrip.com as a Data Analyst and leverage our cutting-edge data analytics platform to drive business growth. This exciting role offers a unique blend of technical and business skills to help you grow as a professional.

Roles & Responsibilities

Collect, analyze, and interpret complex data sets from various sources Develop and maintain data visualizations to communicate insights to stakeholders Identify trends, opportunities, and challenges to drive business decisions

Requirements

Strong experience with SQL, data modeling, and data visualization tools Proficiency in Python programming language and libraries like Pandas and NumPy Excellent analytical and problem-solving skills with attention to detail

Nice to Have

Familiarity with machine learning or predictive modeling Experience in managing projects and collaborating with teams

Eligibility Criteria

B.Tech/B.E. 2024/Batch/ 2025 Batch

Tech Stack & Ecosystem

Data AnalysisSQLPythonTableauPowerBIBig DataMachine Learning

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Quick Info

TypeFullTime
RoleEngineering
Work Mode🏢 On-site
Eligible Batches
202620242025

Tech Stack

Data AnalysisSQLPythonTableauPowerBIBig DataMachine Learning

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Career Advice

Company Insights

At EaseMyTrip.com, our Data Analysts play a crucial role in driving business growth through data-driven decision-making. Working at EaseMyTrip.com provides a unique opportunity to develop expertise in advanced data analytics tools and techniques, as well as to collaborate with cross-functional teams to solve complex business problems. With our cutting-edge technology platform, you will have access to vast amounts of data from various sources, allowing you to analyze patterns, trends, and relationships to drive insights that impact the business.

Interview Guide

To prepare for this role, focus on building your technical skills in data analysis, SQL, and data visualization tools. Practice working with large datasets and identifying trends using Python libraries like Pandas and NumPy. Develop your communication skills by creating data visualizations to present your findings in a clear and concise manner. Prepare to talk about your experience with data modeling, data cleaning, and data mining in an interview setting. Additionally, expect behavioral questions that assess your ability to work under pressure, manage competing priorities, and work collaboratively with stakeholders. Be prepared to provide specific examples of how you've applied data analysis to drive business decisions in previous roles.