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