Work with large datasets from product usage, customer interactions, sales, support, and other business systems.
Collaborate with cross-functional teams including engineering, product management, customer success, and operations to translate business questions into analytical approaches.
Assist with data cleaning, feature engineering, validation, and exploratory analysis to improve data quality and model performance.
Communicate findings clearly to both technical and non-technical stakeholders through presentations, summaries, and visual storytelling.
Contribute to experimentation and measurement frameworks, including A/B testing, KPI tracking, and performance analysis.
Document methods, assumptions, and results so work is reproducible, understandable, and actionable.
Participate in team learning, mentoring, and professional development opportunities while gaining exposure to SaaS product and business operations.
Requirements
Currently enrolled in an Associate’s, Bachelor’s, or Master’s degree program at an accredited university or in a credentialed technical training program; majors accepted are: Data Science, Statistics, Applied Mathematics, Computer Science, Computer Engineering, Informatics, Management Information Systems, Software Engineering, or another relevant STEM field
Experience with data analysis, statistics, programming, or software/data projects through coursework, internships, research, or personal projects
Minimum 3.0 cumulative GPA on a 4.0 scale, without rounding
Willing to work in Austin, TX
Reliable transportation, many of our sites do not have public transportation available
Eligibility Requirements
Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
Desired Characteristics
A strong candidate will have exposure to some of the following
Programming languages such as Python, R, or SQL
Data analysis and visualization tools such as pandas, Jupyter, Tableau, Power BI, or similar
Statistics and modeling techniques including regression, classification, clustering, or hypothesis testing
Data wrangling and exploratory analysis
Cloud, analytics, or SaaS data environments through coursework or projects
We are especially interested in candidates who are
Analytical and able to approach ambiguous problems with structured thinking
Personable and comfortable collaborating across technical and non-technical teams
Highly organized with strong attention to detail
Curious learners who are eager to grow technically and professionally
Self-motivated and able to manage tasks in a fast-paced environment
Effective communicators who can explain complex findings in simple terms
Adaptable and excited to work on evolving priorities and business needs
Customer-minded and interested in how data improves user and business outcomes
Benefits
Pay rates for this position begin at $24/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city.
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.
Relocation Assistance Provided: Yes
