Intern - Data Analyst

🏢 GE Healthcare 📍 Bengaluru, Karnataka 💰 Estimated ₹25,000/month Internship
Internship2025 Batch2026 Batch
📅 Posted 2h ago

📄 Job Description

About the Role

As a data analyst intern, you will be an integral part of an organisation’s data team, responsible for analysing and interpreting various datasets to derive meaningful insights and support data-driven decision-making. The role provides a valuable opportunity to gain hands-on experience in data analysis, visualisation, and reporting, contributing to the success of the team.

Responsibilities

  • Build and optimize data models for analytics and reporting, ensuring performance and reliability.
  • Collaborate with data analysts and business teams to translate requirements into engineering solutions and prepare datasets for BI tools (Power BI).
  • Perform basic data validation and analysis to ensure data accuracy and usability for dashboards.
  • Assist in collecting and cleaning large datasets from various sources.
  • Support in the analysis and interpretation of data to identify trends and patterns.
  • Create visualizations and dashboards to present data insights.
  • Collaborate with team members to define data needs and requirements.
  • Document data analysis processes and methodologies.
  • Participate in meetings and provide data-driven insights to stakeholders.

Requirements

  • Enrollment in a Bachelor's or Master's degree program in Data Science, Statistics, Computer Science, or a related field.
  • B.Tech or M.Tech in Computer Science Engineering, AI/ML.
  • 70% or 7 CGPA aggregate in the current degree.
  • No active backlogs at the time of application.
  • Willing to work in GE HealthCare premises during the internship.
  • Willing to work on any projects as assigned based on fitment and business need.
  • Basic knowledge of data analysis techniques and tools.
  • Strong analytical and problem-solving skills.
  • Effective communication and teamwork skills.
  • Ability to manage time and prioritize tasks.
  • Coding in programming languages (one or more of Python, R, etc.) and familiarity with analytic packages.
  • Experience with applying Machine Learning on time-series data is a plus.
  • Be a good team player and uphold integrity.
  • Open to be mentored, seek feedback.
  • Strong interpersonal skills, capable of working within a globally diverse team across different time zones.
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