Data Analyst With Python (Remote)
Data Analyst With Python | NexaQ | India
We are a Digital First company providing innovative IT and engineering solutions for digital transformations. Our technology services, such as Digital Transformation, Data Analytics, and Quality Engineering, enable clients to realize their full potential and expand their market reach.We empower businesses to accelerate software delivery and thrive in today’s digital world. With over 150 projects completed, we are experts in Value Stream Management, enabling companies to build better software faster. By applying Scaled Agile Framework principles, we help organizations connect IT with business priorities, dramatically cut time-to-market, reduce technical debt, and overcome digital disruption challenges. Our specialized tools and deep expertise in streamlining software development allow businesses to achieve continuous delivery and unlock their full digital potential. Join us to build, deliver and evolve software that drives rapid innovation and accelerate your career growth.
Data Analyst with Python
• 2-3 Years of experience in Data Analysis using PYTHON & Python related libraries for performing data analysis. • Strong working knowledge of Pandas & Numpy. • Knowledge on AI/ML. • Minimally 2 years hand-on experience coding in SQL and SQL constructs. • Minimally 2 years of experience in developing Python notebooks using Pandas, Numpy libraries. Primary Responsibilities: • Data Analyst (Python) will work closely with other Data engineers, Subject Matter Experts, Business Analyst, SQL Developers, and Product Managers to define needs that drive the data analytics platform. • Performs Product Analysis. • Develop Python scripts for Data Analysis and ML. Education: •Bachelor’s degree in an engineering, science, information technology or business discipline, or equivalent data analyst expertise with a minimum of 2-3 years hands-on data analysis using Python experience required.
. 2-3 Years of experience in Data Analysis using PYTHON & Python related libraries for performing data analysis. Minimally 2 years hand-on experience coding in SQL and SQL constructs.. Minimally 2 years of experience in developing Python notebooks using Pandas, Numpy libraries.