Data Analyst with Python

Projects Overview

Date Posted: 13-Jul-2026
Job Type: Full Time
Job Exp: 1 Year
Salary: ₹15000 / MONTH
Location: delhi
Education Req: Bachelor's (Preferred)

Job description

Job Title: Data Analyst with Python

Company: NexaQ
Job Type: Permanent (Full-time)
Location: Remote
Experience Required: 5–6 years total; 2–3 years in Python-based data analysis
Posted On: September 5, 2023

About NexaQ

NexaQ is a digital-first company delivering cutting-edge IT and engineering solutions for digital transformation. With over 150 successful projects, we specialize in Digital Transformation, Data Analytics, Quality Engineering, and Value Stream Management. By leveraging Scaled Agile Framework (SAFe) principles and automation tools, we help organizations achieve faster time-to-market, lower technical debt, and enhanced software delivery. Join our mission to drive innovation, continuous delivery, and accelerated digital growth.

Position Overview

We are seeking a Data Analyst with Python expertise to join our remote team. This role involves working closely with cross-functional teams to develop data analytics platforms and derive meaningful insights from complex datasets using Python and SQL.

Key Responsibilities

Perform advanced data analysis using Python, with strong usage of libraries such as Pandas and NumPy.
Develop and maintain Python Notebooks for data exploration, transformation, and visualization.
Collaborate with data engineers, business analysts, SQL developers, and product managers to define analytical needs.
Write efficient SQL queries to extract and manipulate data.
Support AI/ML development with data preparation and analysis.
Conduct product-level analysis to support data-driven decisions.
Contribute to building scalable and efficient data pipelines.

Required Qualifications

Bachelor’s degree in Engineering, Science, IT, or a related field (or equivalent practical experience).
2–3 years of hands-on experience in data analysis using Python.
Strong command of Pandas, NumPy, and other data analysis libraries.
Minimum 2 years of experience writing and optimizing SQL queries.
Experience with AI/ML is a plus.
Ability to develop and manage Python-based data notebooks and pipelines.