Data Analyst Intern

GE Healthcare Private Limited; Bengaluru; On-site; INR 89,000 - 123,000; Full time

Job summary

GE Healthcare Private Limited is seeking an Intern - Data Analyst to join the data team, gaining hands-on experience in data analysis, visualization, and reporting.

You will build data models, prepare datasets for BI tools like Power BI, perform basic data validation, and create dashboards while collaborating with global teams across time zones.

Internship offers exposure to time-series data, mentorship, and real-world analytics projects across departments, with on-site work in Bengaluru.

Qualifications

• B.Tech or M.Tech in CS/AI/ML with no active backlogs
• 70% or 7 CGPA; current degree
• Enrollment in a related degree program
• Willing to work onsite at GE HealthCare premises
• Strong analytical and problem-solving skills
• Proficiency in Python/R and data analytics basics

Responsibilities

• Build and optimize data models for analytics and reporting.
• Prepare datasets for BI tools (Power BI) and ensure data reliability.
• Perform basic data validation and analysis for dashboard readiness.
• Assist in collecting and cleaning large datasets from diverse sources.
• Analyze data to identify trends and patterns for insights.
• Create visualizations and dashboards to present data insights.
• Collaborate with team to define data needs and requirements.
• Document data analysis processes and methodologies.
• Participate in meetings and provide data-driven insights to stakeholders.

Skills

Excel

SQL

Python

R

Tableau

Data Visualization

Statistical Analysis

Attention to Detail

Critical Thinking

Education

B.Tech or M.Tech in Computer Science Engineering, AI/ML

Enrollment in a Bachelor's or Master's degree program in Data Science/Statistics/CS

Job description

Intern - Data Analyst Job Description Summary 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.

Job Description Role & 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.

Desired Characteristics Preferred Qualifications

• 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 zone.

Qualifications/Requirements

• 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.
• Coding in programming languages (one or more of Python, R, etc.) and familiarity with analytic packages like Experience with applying Machine Learning on time-series data is a plus Enrollment in a Bachelor's or Master's degree program in Data Science, Statistics, Computer Science, or a related field.
• 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.

Skills

• Excel
• SQL
• Python
• R
• Tableau
• Data Visualization
• Statistical Analysis
• Attention to Detail
• Critical Thinking

Additional Information

Relocation Assistance Provided: No Experience Level Entry Level