Company Overview

TwiLearn, a pioneering online learning platform in India, specializes in training aspiring IT professionals. By adapting to tech and market trends, it offers extensive courses and a 'Pay After Placement' model, alleviating financial constraints for learners. Through collaboration with Promentix Software Solutions Pvt Ltd, TwiLearn provides internships, placement assistance, and essential industry exposure, aiming to equip learners with vital skills and ensuring their success in the rapidly evolving digital landscape.

Job Overview

As a Data Analyst Intern with TwiLearn, you will embark on a rewarding journey in the IT sector. This internship is ideal for freshers, offering remote work flexibility while stationed in one of several vibrant cities: Pune, Mumbai, Bangalore, Hyderabad, Noida, Gurgaon, or Kolkata. You will be part of a dynamic team working to extract valuable insights from data, fostering growth in data-driven decision-making within the organization. The role caters to aspiring data professionals with no prior experience required.

Qualifications and Skills

• Data Analysis (Mandatory skill) - Ability to collect, process, and perform statistical analyses on large datasets.
• Excel (Mandatory skill) - Proficiency in Microsoft Excel for organizing and managing data effectively.
• Problem Solving (Mandatory skill) - Sharp analytical skills to solve complex problems and make data-informed decisions.
• Statistical Analysis - Competence in evaluating statistical data and applying statistical techniques to solve real-world problems.
• Data Visualization - Skilled in transforming data into visual contexts to explore patterns and gain insights.
• SQL - Proficient in using SQL for data querying, extraction, and database management.
• Python - Knowledgeable in Python programming for efficient data manipulation and analysis.
• Critical Thinking - Ability to approach problems independently, drawing logical connections and conclusions.

Roles and Responsibilities

• Assist in analyzing datasets to extract actionable insights that address complex business issues.
• Create and deliver reports and presentations that summarize data analysis findings for team review.
• Collaborate with cross-functional teams to define and track key performance indicators (KPIs).
• Support senior analysts and department heads in developing data-driven strategies and solutions.
• Manage and organize data using Excel and SQL for comprehensive data analysis efforts.
• Develop and maintain Python scripts to automate data manipulation and processing tasks.
• Design visual representation of data findings, enhancing clarity and usability for stakeholders.
• Continuously improve skillsets through learning sessions and by staying updated with analysis tools.