At a Glance
- Tasks: Predict product performance and analyse data to enhance reliability.
- Company: Join John Deere, a leader in sustainable innovation.
- Benefits: Flexible hours, hands-on experience, and a chance to work with advanced tools.
- Other info: Dynamic work environment with opportunities for growth and learning.
- Why this job: Make a real impact while balancing your studies and gaining valuable skills.
- 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.
There are over 7 billion people on this planet. By 2050, there will be 2 billion more, many moving into urban centers. Making sure there is enough food, fiber and infrastructure for a growing world aligns with John Deere's mission. John Deere is an equal opportunity employer, including disabled & veterans.
The Part-Time Student Program is designed to augment the Company’s regular full-time staff and is for students who work in parallel to their school schedule year-round. VISA Sponsorship is NOT available for this position.
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
- Pursuing a degree in Data Analytics, Data Science, Statistics or Engineering (similar areas may 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
- 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
- Coursework in Data Science, Data Analytics and Visualization, Computer Science, Reliability, Statistics
- Familiarity with AI tools for prompts in data analytics and visualization (e.g., ChatGPT, Copilot)
- Experience with Databricks, GitHub, Google Colab or similar
- Data analytics experience (Python, R, SQL, Tableau/Power BI)
- Experience in Statistical Modeling: clustering, classification, supervised/unsupervised learning, regression
- Experience in Statistical Modeling: classical ML and deep learning (NLP)
- Experience with Data Engineering and/or MLOps
At John Deere, you are empowered to create a career in an inclusive environment with opportunities to explore new projects and use advanced tools and technologies. Must be 18 years of age or older to apply.
Part-Time Student - Technical Data Analytics - Ames, IA in Torpoint employer: Iowa State University Research Park
At John Deere, we pride ourselves on being an excellent employer that fosters a collaborative and inclusive work culture. Our Part-Time Student Program offers students in Ames, IA, the chance to gain hands-on experience in data analytics while balancing their academic commitments, with opportunities for professional growth and development using cutting-edge technologies. Join us to contribute to meaningful projects that support our mission of ensuring sustainable solutions for a growing world.
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 - Ames, IA in Torpoint
✨Tip Number 1
Network like a pro! Reach out to your university's career services or join relevant student groups. Connecting with peers and professionals in the data analytics field can open doors to opportunities you might not find on job boards.
✨Tip Number 2
Get your hands dirty with projects! Whether it's through internships, personal projects, or hackathons, showcasing your practical experience in data analytics will make you stand out. Plus, it gives you something solid to talk about in interviews!
✨Tip Number 3
Prepare for those interviews! Research common questions related to data analytics and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your skills effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t forget to tailor your application to show how your skills align with the role at John Deere!
We think you need these skills to ace Part-Time Student - Technical Data Analytics - Ames, IA in Torpoint
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight relevant coursework and skills in Data Analytics, Data Science, or Statistics that match what we're looking for. This shows us you’re serious about the position!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your experiences align with our mission at John Deere. Keep it concise but impactful!
Show Off Your Skills:If you've got experience with tools like Python, SQL, or Tableau, make sure to mention it! We love seeing practical examples of your skills, so don’t hold back on showcasing your projects or relevant coursework.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Iowa State University Research Park
✨Know Your Data Tools
Familiarise yourself with the data analytics 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 coursework or projects.
✨Showcase Your Statistical Knowledge
Brush up on statistical concepts and modelling techniques such as clustering, classification, and regression. Prepare to explain how you would apply these methods to real-world scenarios, especially in relation to product performance and reliability.
✨Prepare for Behavioural Questions
Expect questions about teamwork and problem-solving, especially in an Agile environment. Think of examples from your studies or previous experiences where you successfully collaborated on a project or overcame a challenge.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the role or the company. This shows your genuine interest and helps you understand how you can contribute to John Deere's mission in data analytics.
