Advertisements
🏢 Myntra
Data Analyst
💼 Fulltime
📍 Bangalore
🔗 Explore More
🛠 Skills Required
SQL
Python
Excel
Tableau
PowerBI
Statistics
Data Visualization
Analytical Thinking
Problem Solving
Advertisements
🎤 Interview Experience
Myntra’s interview process typically starts with a timed online assessment testing aptitude and SQL fundamentals, followed by a technical interview that dives deep into data‑analysis case studies, statistical concepts, and Python coding. The final HR round assesses cultural fit, communication skills, and career aspirations. Candidates should practice data‑driven problem solving, be comfortable with visualization tools, and showcase a passion for e‑commerce analytics.
🏢 Work Culture
Myntra promotes a dynamic, merit‑based culture where innovation is encouraged and employees are given ownership of their projects. The company emphasizes work‑life balance through flexible timings and a supportive environment, while offering clear growth pathways and continuous learning opportunities.
Advertisements
📚 Free Study Materials (4)
Aptitude Questions and Answers
Covers quantitative, logical, and verbal aptitude topics essential for the online assessment stage.
Open Resource ↗
Myntra Recruitment Process Experiences
First‑hand accounts of the interview rounds at Myntra, helping candidates set expectations.
Open Resource ↗
Data Analyst Interview Preparation Guide
Focused preparation material on data‑analysis concepts, SQL queries, and case‑study questions specific to Myntra.
Open Resource ↗
Comprehensive Problem Solving Practice
A wide range of coding and algorithm problems to sharpen logical thinking and programming skills.
Open Resource ↗
Advertisements
✅ Eligibility Criteria
Graduates (B.Tech/B.E., B.Sc., B.Com, BBA) in Computer Science, Information Technology, Statistics, Mathematics, Economics or related fields; minimum 60% aggregate (or CGPA 6.0/10); batch years 2023‑2026; no active backlogs at the time of joining.
🏆 Selection Process
Round 1: Online Assessment (aptitude + SQL/Data interpretation) → Round 2: Technical Interview (case studies, SQL queries, Python basics) → Round 3: HR Interview (fit, motivation, culture alignment)
🎯
Don't miss this opportunity!
Apply before 31 Aug 2026 — only 41 days left
✅ Apply on Official Website →📋 About the Role
Myntra is India’s leading fashion and lifestyle platform where technology meets creativity. Since its inception in 2007 as a customization company, it has transformed into a tech‑driven e‑commerce giant, pioneering fashion trends for millions of users across the country. The company’s DNA is built around bold experimentation, rapid execution, and a collaborative spirit that empowers every employee to innovate and own their impact. With a strong focus on data‑driven decision making, Myntra continuously invests in building analytical capabilities that shape product assortment, pricing strategies, and customer experiences.
As a Data Analyst at Myntra, you will be part of the analytics engine that fuels business growth. You will work closely with product managers, category heads, and engineering teams to translate raw data into actionable insights. Your analyses will directly influence merchandising decisions, marketing spend, and operational efficiencies, helping the brand stay ahead in a fiercely competitive market.
**Key Responsibilities**
1. Extract, clean, and transform large datasets from multiple sources (SQL, CSV, APIs) for analysis.
2. Develop and maintain interactive dashboards using Tableau/Power BI to monitor key performance indicators.
3. Perform exploratory data analysis to uncover trends, patterns, and anomalies.
4. Conduct ad‑hoc deep‑dive analyses for category performance, user behavior, and campaign effectiveness.
5. Build statistical models to forecast sales, inventory needs, and customer churn.
6. Collaborate with cross‑functional teams to define metrics, set targets, and track progress.
7. Automate repetitive reporting tasks using Python or R scripts.
8. Present findings and recommendations to senior leadership in a clear, data‑driven narrative.
9. Ensure data quality and governance standards are adhered to across all analytical workflows.
10. Stay updated with emerging analytics tools and best practices to continuously improve processes.
**Tech Stack**: SQL, Python (pandas, NumPy), Excel, Tableau/Power BI, Git, basic statistical modeling (regression, hypothesis testing).
**Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, and eventually to roles such as Product Analyst Manager or Data Science Manager, with exposure to strategic decision‑making and product ownership.
**Why Join Myntra?** The company offers a vibrant, fast‑paced environment where fresh ideas are welcomed and meritocracy reigns. You will get to work on real‑world, high‑impact problems in the fashion e‑commerce space, receive mentorship from seasoned analysts, and benefit from competitive compensation, learning resources, and a culture that celebrates diversity and inclusion.
🎯
Don't miss this opportunity!
Apply before 31 Aug 2026 — only 41 days left
✅ Apply on Official Website →📤 Share this Job
Advertisements
💼 More Fulltime Opportunities
Software Engineer-India Engineering/UHR-FY27 (Code w...
🏢 Cisco · 📍 Pan India
View →
Associate Analyst
🏢 GlobalLogic · 📍 India - Gurgaon
View →
Advisor Customer Service - Voice
🏢 Concentrix · 📍 Various cities across India
View →
Engineer, Development
🏢 Aptean · 📍 Pan India
View →
📋 Quick Info
JOB ID
C559-J068
POSTED
17h ago
TYPE
Fulltime
BATCH
All Batches
⚠️ Disclaimer: This listing is indexed from public sources and may include creator-submitted or AI-generated details such as salary, interview, work culture, eligibility, and study materials. These details may be inaccurate or outdated. Company names and trademarks belong to their respective owners, and Jobdexo is not affiliated with or endorsed by the hiring company or linked third-party sites. Always verify all details on the official company website before applying. We never charge any fee for job applications. Found something suspicious? Report here → | Read full disclaimer