At a Glance
- Tasks: Collect live soccer data and ensure timely delivery of team information during matches.
- Company: Join Stats Perform, a leader in sports data analytics.
- Benefits: Flexible part-time hours, gain experience in sports analytics, and work in a vibrant environment.
- Other info: Ideal for students looking to gain experience while enjoying the thrill of live matches.
- Why this job: Combine your passion for football with data analysis in an exciting match-day atmosphere.
- Qualifications: Must love football, have great communication skills, and be detail-oriented.
The predicted salary is between 12 - 15 £ per hour.
Stats Perform is seeking a part-time In-Stadium Analyst in Oldham, England, to collect live Opta data for soccer matches. Responsibilities include ensuring timely delivery of team information and collecting in-play statistics during matches.
The ideal candidate must have a genuine passion for football, excellent communication skills, and attention to detail. Availability for weekend and evening matches is essential.
Part-Time In-Stadium Soccer Data Analyst (Live Match Data) in Oldham employer: Stats Perform
At Stats Perform, we pride ourselves on fostering a dynamic and inclusive work culture that values passion for sports and innovation. As a part-time In-Stadium Analyst in Oldham, you'll enjoy flexible working hours around your schedule, opportunities for professional growth within the sports analytics field, and the chance to be part of a team that is at the forefront of sports data collection. Join us to turn your love for football into a rewarding career while contributing to the excitement of live matches.
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time In-Stadium Soccer Data Analyst (Live Match Data) in Oldham
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Stats Perform.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Stats Perform and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Part-Time In-Stadium Soccer Data Analyst (Live Match Data) in Oldham
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Stats Perform aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Stats Perform
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Stats Perform.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Stats Perform.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Stats Perform, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Stats Perform will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
