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Data Analyst, GenAI Specialist – Enterprise AI
Location
Illinois
Posted
22 days ago
Salary
$70.4K - $105.6K / year
Seniority
Junior
Job Description
Data Analyst, GenAI Specialist – Enterprise AI
GE HealthCare
• Support AI and analytics initiatives through exploratory data analysis (EDA), statistical analysis, data wrangling, and practical application of low-code/no-code generative AI tools to improve IT business processes • Work closely with Data Scientists, AI Engineers, business stakeholders, and process owners to prepare high-quality datasets, uncover insights, validate assumptions, and identify opportunities to automate, simplify, and accelerate work • Extract, join, and transform data from multiple sources using SQL and/or data tools • Clean and preprocess structured and semi-structured data • Build and maintain analysis-ready datasets to support feature engineering, model development, and business reporting needs • Apply data quality checks and document findings • Perform EDA to understand data structure, relationships, distributions, anomalies, and business context • Create visualizations and summaries to communicate insights • Conduct descriptive and basic inferential statistical analyses and assist in measurement design and KPI definition • Use low-code/no-code GenAI tools to improve efficiency, speed, and quality in IT business processes • Design and implement GenAI-enabled solutions, create prompts, reusable workflows, and lightweight AI assistants • Work in technical teams focused on analytics solutions and maintain well-structured documentation
Job Requirements
- Bachelor’s degree (or equivalent practical experience) in a quantitative or technical field such as Statistics, Mathematics, Economics, Computer Science, Data Science, Engineering, Information Systems, or similar
- 0-3 years of relevant work experience
- Familiarity with SQL for querying and manipulating data, including joins, aggregations, and filters
- Working knowledge of Python for data analysis, such as pandas/tidyverse and basic scripting
- Understanding of foundational statistics including distributions, summary statistics, correlation, and basic hypothesis testing concepts
- Strong attention to detail and comfort working with messy, incomplete, or evolving datasets and business requirements
- Experience with data visualization tools such as Tableau or Power BI and/or Python visualization libraries
- Demonstrated interest in applying generative AI tools to business workflows and process improvement
- Hands-on familiarity with one or more enterprise GenAI platforms or adjacent workflow tools is preferred, including Microsoft 365 Copilot, Copilot Studio, Power Automate, ChatGPT Enterprise, custom GPTs, Claude, or similar solutions
- Exposure to cloud platforms such as AWS or Azure is a plus
- Familiarity with ML/AI concepts including features, labels, training versus inference data, and evaluation metrics is preferred.
- Experience using Git and writing reproducible notebooks, documentation, or workflow playbooks is a plus
Benefits
- medical, dental, vision
- paid time off
- 401(k) plan with employee and company contribution opportunities
- life, disability, and accident insurance
- tuition reimbursement
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