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 12 - 15 £ per hour.
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 & veterans.
Part-Time Student - Technical Data Analytics in Torpoint employer: Iowa State University Research Park
At John Deere, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our Part-Time Student Program offers students in Ames, Iowa, the opportunity to gain hands-on experience in data analytics while balancing their academic commitments, with flexible hours and a supportive environment that encourages professional growth and development. Join us to work alongside industry leaders and contribute to meaningful projects that shape the future of agriculture technology.
Contact Details:
Iowa State University Research Park Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Student - Technical Data Analytics in Torpoint
✨Tip Number 1
Network like a pro! Reach out to your professors, classmates, and industry professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that part-time gig.
✨Tip Number 2
Prepare for those interviews! Research common questions related to data analytics and practice your answers. We suggest using the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your skills effectively.
✨Tip Number 3
Show off your projects! If you've done any relevant coursework or personal projects, make sure to discuss them during interviews. We love seeing how you’ve applied your skills in real-world scenarios, so bring your A-game!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate students like you to join our team in data analytics.
We think you need these skills to ace Part-Time Student - Technical Data Analytics in Torpoint
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight relevant coursework and projects that align with data analytics and statistical modelling. We want to see how your skills fit into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data analytics and explain why you’re excited about this opportunity at StudySmarter. Let us know what makes you tick!
Showcase Your Skills:Don’t hold back on showcasing your technical skills! Mention any experience with Python, SQL, or data visualisation tools like Tableau. We love seeing what you can bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better. Don’t miss out!
How to prepare for a job interview at Iowa State University Research Park
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Python, R, SQL, and Tableau. Be ready to discuss your experience with these tools and how you've used them in your studies or projects.
✨Showcase Your Analytical Skills
Prepare to talk about specific projects where you predicted product performance or analysed data. Use examples that highlight your statistical analysis skills and any modelling techniques you've applied.
✨Understand Agile Methodologies
Since the role involves working in an Agile environment, brush up on Agile principles. Be prepared to discuss how you’ve worked in teams, adapted to changes, and delivered results in a fast-paced setting.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s data analytics processes or team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
