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