At a Glance
- Tasks: Predict product performance and analyse data to enhance reliability.
- Company: Join John Deere, a leader in innovation and technology.
- Benefits: Flexible hours, hands-on experience, and a chance to work with cutting-edge tools.
- Other info: Work in a dynamic environment with opportunities for growth and learning.
- Why this job: Gain real-world experience while studying and make an impact in data analytics.
- Qualifications: Pursuing a degree in Data Analytics or related fields with a GPA of 3.0+.
The predicted salary is between 12000 - 18000 € per year.
About the role
Function: Data and Analytics (CA)
Primary Location: United States (US) – Iowa – Ames
Onsite/Remote: Onsite Position
Note: Relocation assistance is not provided.
The Part‑Time Student Program is primarily designed to augment the Company’s regular full‑time staff and is for students who work in parallel to their school schedule YEAR‑ROUND.
Your Responsibilities
- Predict product performance using statistical analysis
- Assess lab and field event data for impact to product reliability
- Develop common reliability modeling tools
- Analyze and report findings from field demonstration
- Clean, organize, and structure data for use in business visualization tools
- Create or improve existing reports and dashboards
- Work in an Agile‑based environment
What Skills You Need
- Pursuing a degree in Data Analytics, Data Science, Statistics or Engineering; similar areas of study may also apply
- Must be able to commute to the work location daily
- Available to work 10-20 hours/week during the academic year
- Available to work up to 40 hours/week onsite during the summer semester
- Must be registered as a full‑time student at a local university or college
- Graduation date of May 2027 or later
- Cumulative GPA of 3.0 or above
What Makes You Stand Out
- Coursework in Data Science, Data Analytics and Visualization, Computer Science, Reliability, Statistics
- Familiarity with AI companion engineering for prompts in data analytics and visualization using tools like ChatGPT, Copilot, or similar platforms
- Experience with Databricks, GitHub, Google Colab or similar applications
- Data analytics experience (Python, R, SQL, Tableau/Power BI)
- Experience in Statistical Modeling: clustering, classification, supervised/unsupervised machine learning, regression
- Experience in Statistical Modeling: classical machine learning and deep learning (natural language processing)
- Experience with Data Engineering and/or MLOps
Must be 18 years of age or older to apply.
John Deere is an equal opportunity employer, including disabled.
Part-Time Student - Technical Data Analytics in Cornwall employer: Iowa State University Research Park
At John Deere, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Part-Time Student in Technical Data Analytics, you'll gain invaluable hands-on experience while balancing your academic commitments, all within a supportive environment that encourages personal and professional growth. Located in Ames, Iowa, our team is dedicated to empowering students with the skills and knowledge needed to excel in the data analytics field, making this an ideal opportunity for those seeking meaningful and rewarding employment.
Contact Detail:
Iowa State University Research Park Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Student - Technical Data Analytics in Cornwall
✨Tip Number 1
Network like a pro! Reach out to your professors, classmates, and industry professionals. They might have insider info on job openings or even recommend you directly. Don’t be shy; we all know it’s not just what you know, but who you know!
✨Tip Number 2
Get your hands dirty with practical projects. Whether it's through internships, personal projects, or contributing to open-source, show off your skills in data analytics. We love seeing real-world applications of your knowledge, so make sure to highlight these experiences!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. We suggest doing mock interviews with friends or using online platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive opportunities listed there. So, don’t miss out – get your application in and let’s get you started on this exciting journey!
We think you need these skills to ace Part-Time Student - Technical Data Analytics in Cornwall
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your relevant coursework and any projects that align with data analytics or statistics. We want to see how your skills fit into our team!
Show Off Your Skills:Don’t hold back on showcasing your technical skills! If you’ve worked with Python, SQL, or any data visualisation tools, let us know. We love seeing practical examples of your experience in action.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s necessary. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Remember to submit your application through our official website. It’s the best way to ensure we receive your details directly. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Iowa State University Research Park
✨Know Your Data Tools
Make sure you brush up on your knowledge of data analytics tools like Python, R, and SQL. Be ready to discuss any projects you've worked on using these tools, as well as how you approached data cleaning and visualisation.
✨Showcase Your Statistical Skills
Prepare to talk about your experience with statistical modelling techniques. Whether it's clustering or regression, be ready to explain how you've applied these methods in real-world scenarios, and don't shy away from discussing any challenges you faced.
✨Understand the Company’s Needs
Research John Deere and their focus on data analytics within their products. Tailor your responses to show how your skills can help them predict product performance and improve reliability. This shows you're not just interested in the role, but also in contributing to their success.
✨Be Ready for Agile Discussions
Since the role involves working in an Agile environment, be prepared to discuss your understanding of Agile methodologies. Share any experiences you have working in teams, how you handle feedback, and how you adapt to changing project requirements.
