Data Analyst

Skills:
Python, SQL, Tableau, Power BI, R, Excel, Google Analytics, Machine Learning,

Company Overview

NxtShiksha, a leading name in the digital education industry, is dedicated to equipping individuals with cutting-edge skills through live, expert-led training. By focusing on digital marketing, full stack web development, and more, NxtShiksha provides industry-relevant education that enhances career prospects. With a commitment to transformative learning, NxtShiksha ensures you stay ahead in the digital landscape. Visit us at NxtShiksha.

Job Overview

Join NxtShiksha as a Data Analyst, an ideal role for freshers eager to dive into the world of data. This is a remote position available for candidates located in Kolkata, Bangalore, Noida, Gurgaon, Pune, Mumbai, and Hyderabad. As a fresher level position, no prior work experience is required, providing an excellent opportunity to start your career in data analysis.

Qualifications And Skills

• Proficiency in Python (Mandatory skill) to manipulate data and perform complex calculations effectively.
• Strong knowledge of SQL (Mandatory skill) for database querying and data extraction tasks.
• Experience with Tableau (Mandatory skill) for data visualization and providing insights into data trends.
• Ability to utilize Power BI to deliver compelling data-driven stories and actionable insights.
• Familiarity with R for statistical analysis and visualization to uncover insights.
• Proficient in Excel, particularly in using advanced functions for data analysis.
• Understanding of Google Analytics to interpret website data and optimize performance.
• Basic knowledge of machine learning to explore predictive data modeling techniques.
  
  

Roles And Responsibilities

• Analyze complex datasets to discover trends and patterns that will aid in decision-making.
• Create and maintain dashboards and reports for consistent visual data delivery.
• Work with management to prioritize business and information needs effectively.
• Support the data warehousing needs by ensuring data accuracy and availability.
• Collaborate with different teams to incorporate business requirements into data solutions.
• Identify data quality issues and assist in the development of robust data validation processes.
• Conduct statistical analyses to support business development and strategy creation.
• Continuously improve and optimize existing dashboards to enhance user interaction.