Data Analyst

Flipkart · Marketplaces · Online Groceries · Python · SQL · Power BI · ETL/ELT · Microsoft Excel · 2 days ago

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Location

In office (Bengaluru)

Seniority

Junior · 2+ years exp

First seen by Alion on Nov 3, 2026.

Overview

Company

Impact

Profile match

Flipkart

Flipkart is a major Indian e-commerce company headquartered in Bengaluru and founded in 2007. The company operates an online marketplace offering a wide range of products including consumer electronics, fashion, home essentials, groceries, and lifestyle goods. As a subsidiary of Walmart, it serves hundreds of millions of customers across India through its extensive logistics network and digital payment integrations.

flipkart.com · HQ: Bengaluru, India · Online Groceries · Marketplaces · Est. 2007

Tech stack of Flipkart

Backed by Accel, Silicon Valley Investclub, Premji Invest

Responsibilities:

Extract, clean, transform, and analyze large datasets to identify trends and business insights.
Write complex SQL queries, including joins, subqueries, CTEs, window functions, and aggregations.
Perform data manipulation and analysis using Python libraries such as Pandas and NumPy.
Develop and maintain reports, dashboards, and automated reporting solutions.
Work with Power Query for data transformation and data preparation.
Use advanced Excel functions, pivot tables, lookup functions, and data analysis techniques.
Collaborate with business stakeholders to understand requirements and deliver data-driven insights.
Ensure data accuracy, consistency, and integrity across reports and datasets.
Support business decision-making through analytical reports and actionable recommendations.

Requirements:

Experience: 2-3 years.
Key Skills: SQL (primary skill, must be strong), Python (Pandas, NumPy), Power Query, Advanced Excel, Power BI, and cloud exposure (Azure/AWS/GCP) are a plus.
SQL: Strong hands-on experience in complex SQL queries, joins, CTEs, subqueries, and window functions.
Python: Practical experience with Pandas and NumPy for data analysis and manipulation.
Power Query: Experience in data extraction, transformation, and preparation.
Advanced Excel: Strong knowledge of Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH, formulas, and data analysis.
Data Visualization: Basic to good understanding of Power BI and dashboard development.

Good to Have:

Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
Experience working with large datasets and business intelligence tools.
Understanding of data warehousing and ETL concepts.

Skills

Power Query, Python, SQL, Advanced excel, Data Analyst, Numpy, Pandas

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