GE HealthCare is seeking a highly motivated and detail-oriented Entry-Level Data Analyst to join their team. The ideal candidate will analyze datasets to uncover insights, ensure data integrity, and build visualizations to support data-driven decision-making.
Analyze structured and unstructured datasets to uncover trends, patterns, and insights.
Ensure data integrity and apply ethical/legal standards in data handling and analysis.
Build and maintain dashboards and visualizations using Tableau and Power BI.
Collaborate with cross-functional teams (supply chain, operations, service etc.) to support data-driven decision-making.
Communicate findings through clear, compelling data storytelling and visualizations.
Apply machine learning models (e.g., decision trees, logistic regression, linear regression) to real-world datasets.
Qualification
Required
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Intermediate proficiency in Python, with heavy use of data processing libraries (such as Pandas, NumPy, MatPlotLib).
Familiarity with database design and management principles. Practical experience in relational databases (such as MySQL) access and executing optimized SQL queries.
Intermediate proficiency in data visualization tools (such as Tableau, Power BI).
Hands-on experience in a cloud environment (such as AWS).
Strong analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Preferred
Hands-on experience code management tools (such as GitHub/GitLab).
Experience with machine learning libraries (such as Scikit-learn, PyTorch).
Experience with NoSQL databases (such as MongoDB).
Exposure to multi-tenant cloud environments and hybrid cloud deployments.
Benefits
Great work environment
Professional development
Challenging careers
Competitive compensation
GE HealthCare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
