Data & Insights Analyst (Casual) — Elite Cycling Team in Manchester

Data & Insights Analyst (Casual) — Elite Cycling Team in Manchester

Manchester Part-Time 15.3 - 18.7 £ / hour (est.) Home office (partial)
TheASPA

At a Glance

  • Tasks: Support coaches and athletes with video analysis and performance insights.
  • Company: Join the Great Britain Cycling Team at the National Cycling Centre.
  • Benefits: Flexible hours and hands-on experience in elite sport.
  • Other info: Great opportunity to work in a dynamic sports environment.
  • Why this job: Develop skills in data management and applied performance analysis.
  • Qualifications: Passion for cycling and interest in data analysis.

The predicted salary is between 15.3 - 18.7 £ per hour.

British Cycling is seeking a Data & Insights Analyst to join the Great Britain Cycling Team on a casual basis at the National Cycling Centre in Manchester.

You will support coaches and athletes through video analysis, data collection and performance insights.

This role offers hands-on experience in elite sport with flexible hours and opportunities to develop skills in video tagging, data management, and applied performance analysis.

#J-18808-Ljbffr

Data & Insights Analyst (Casual) — Elite Cycling Team in Manchester employer: TheASPA

Joining Newcastle United FC as a Senior Recruitment Analytics Lead offers a unique opportunity to work at the heart of football, where your expertise in data analysis will directly influence recruitment strategies and team success. The club fosters a collaborative and innovative work culture, providing ample opportunities for professional growth and development within the dynamic environment of sports analytics. Located in the vibrant city of Newcastle upon Tyne, employees enjoy a rich cultural scene and a passionate community that shares a love for football.

TheASPA

Contact Details:

TheASPA Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Insights Analyst (Casual) — Elite Cycling Team in Manchester

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 TheASPA.

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 TheASPA 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 Data & Insights Analyst (Casual) — Elite Cycling Team in Manchester

Communication Skills
Problem-Solving Skills
Python
SQL
Attention to Detail
Automation
Data Engineering

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 TheASPA 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 TheASPA

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 TheASPA.

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 TheASPA.

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 TheASPA, 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 TheASPA 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.