About this role
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