At a Glance
- Tasks: Conduct statistical analysis and enhance reports and dashboards.
- Company: Iowa State University Research Park, a hub for innovation.
- Benefits: Flexible hours, hands-on experience, and a chance to boost your resume.
- Other info: Work 10-20 hours during term and up to 40 hours in summer.
- Why this job: Gain practical skills in data analytics while studying.
- Qualifications: Pursuing a degree in Data Analytics with a GPA of 3.0 or above.
The predicted salary is between 12 - 15 £ per hour.
Iowa State University Research Park is looking for a Part-Time Student - Technical Data Analytics. This role involves statistical analysis, data cleaning, and improving reports and dashboards.
As a student, you will work 10 - 20 hours during the academic year and up to 40 hours in summer. Students pursuing degrees in Data Analytics or related fields with a GPA of 3.0 or above are encouraged to apply. You must be able to commute to the work location daily.
Part-Time Data Analytics Student – Predictive & Dashboards in Torpoint employer: Iowa State University Research Park
Iowa State University Research Park offers a dynamic and supportive environment for students pursuing careers in Data Analytics. With flexible working hours that accommodate your academic schedule, you will gain hands-on experience in statistical analysis and data management while collaborating with industry professionals. The culture here fosters innovation and growth, providing you with valuable opportunities to enhance your skills and build a strong professional network.
Contact Details:
Iowa State University Research Park Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Data Analytics Student – Predictive & Dashboards in Torpoint
✨Tip Number 1
Network like a pro! Reach out to your professors, classmates, or even alumni who are in the data analytics field. They might have insider info on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data cleaning and dashboard projects. This will give potential employers a taste of what you can do and set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by practising common data analytics questions. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and ensures your application gets seen. Plus, we love seeing students who are proactive about their job search!
We think you need these skills to ace Part-Time Data Analytics Student – Predictive & Dashboards in Torpoint
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant skills and experiences related to data analytics. We want to see how your background aligns with the role, so don’t be shy about showcasing your statistical analysis and dashboard experience!
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 you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects:If you've worked on any projects involving data cleaning or report improvement, make sure to mention them! We’re keen to see practical examples of your work that demonstrate your skills in action.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Iowa State University Research Park
✨Know Your Data
Make sure you brush up on your statistical analysis skills and be ready to discuss any relevant projects you've worked on. Familiarise yourself with data cleaning techniques and how they apply to improving reports and dashboards.
✨Showcase Your GPA
Since the role encourages students with a GPA of 3.0 or above, don’t shy away from mentioning your academic achievements. Be prepared to explain how your coursework has prepared you for this position in data analytics.
✨Prepare Questions
Think of insightful questions to ask during the interview. This shows your genuine interest in the role and the company. You might want to ask about the tools they use for data analytics or how they measure the success of their dashboards.
✨Commute Considerations
Since commuting is part of the job, be ready to discuss your daily travel plans. It’s a good idea to mention how you’ll manage your time effectively between studies and work, especially during the academic year.
