Data Analyst internship

Skills:
Statistical Analysis, Machine Learning, Python Programming, Data Visualization, Predictive Modeling, Big Data, SQL, Data Mining,

Company Overview

TwiLearn is an innovative online learning platform in India focused on empowering IT aspirants to secure their dream jobs. Through its Pay After Placement initiative, the company offers cutting-edge training in tech domains aligned with market trends. With headquarters in Pune, TwiLearn offers live classes, hands-on exercises, and projects. The platform collaborates with Promentix Software Solutions Pvt Ltd to offer valuable internship experiences.

Job Overview

TwiLearn is offering a Data Analyst Internship for freshers eager to kickstart their careers in data analytics. This remote internship provides an opportunity to work in diverse locations, including Pune, Mumbai, Bangalore, Noida, Delhi, Gurgaon, and Hyderabad. The internship will offer exposure to essential data analysis tools and methodologies, perfect for those passionate about turning data into actionable insights.

Qualifications And Skills

• Proficiency in statistical analysis to interpret and analyze complex datasets to provide meaningful insights.
• Strong data visualization skills to create informative and easily interpretable dashboards and reports.
• Experience in predictive modeling to anticipate trends and behaviors through data analysis (Mandatory skill).
• Familiarity with machine learning concepts to implement data-driven decision-making processes using algorithms.
• Competence in Python programming for data manipulation, analysis, and automation of processes.
• Understanding of big data technologies to manage and process large volumes of data efficiently and effectively.
• Experience with SQL databases to extract and manage data from various sources for analysis.
• Capability in data mining to discover patterns and extract useful information from large datasets.
  
  

Roles And Responsibilities

• Collect, analyze, and interpret complex datasets to identify data-driven insights for decision-making.
• Create and maintain dashboards and visual reports to present findings to stakeholders effectively.
• Collaborate with cross-functional teams to understand their analytical needs and provide support.
• Assist in predictive modeling efforts to forecast future trends and business opportunities.
• Support the implementation of data mining techniques to uncover hidden patterns in data.
• Work on improving processes by developing automation scripts using Python and other tools.
• Contribute to data cleaning and preprocessing efforts to ensure high data quality.
• Assist in identifying and resolving data issues to maintain data accuracy and reliability.