At a Glance
- Tasks: Use data to enhance player recruitment and support decision-making in elite sports.
- Company: Leading elite sports organisation focused on innovative recruitment strategies.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a forward-thinking organisation that values data-driven decisions.
- Why this job: Join a dynamic team where your analysis directly impacts player success.
- Qualifications: 2+ years in professional football or elite sports, with strong analytical skills.
The predicted salary is between 31500 - 38500 £ per year.
We’re supporting a leading elite sports organisation with the appointment of a Data Analyst, Player Recruitment to strengthen its player recruitment function. Working closely with recruitment, technical and sporting leadership, this person will use data to support smarter, evidence-led decisions across the full player acquisition cycle — from identifying targets through to assessing suitability and supporting final decision-making.
The role will include:
- Building and developing analytical models to support player identification and evaluation
- Combining event, tracking, physical and contextual data to assess performance and potential
- Producing clear player reports, visualisations and presentations
- Developing position-specific benchmarks, profiles and shortlists aligned to the playing model
- Supporting due diligence on prospective signings
- Working closely with scouts to combine quantitative insight with live observation
- Improving data workflows, reporting processes and analytical tools across recruitment
We’re looking for someone with:
- 2+ years’ experience within professional football or an equivalent elite sporting environment
- Strong understanding of player recruitment and football decision-making
- Experience working with football datasets and tools such as Excel, Power BI, SQL or Python
- Exposure to recognised football data providers and platforms
- The ability to turn complex analysis into clear recommendations for sporting stakeholders
- Strong judgement, curiosity and attention to detail
This is an opportunity to join an ambitious sporting organisation where analysis is central to recruitment strategy and competitive advantage.
Data Analyst in Basingstoke employer: ICP Search
Join a dynamic leader in live event production, where innovation meets excellence in delivering high-profile AV and LED experiences. With a culture that fosters creativity and collaboration, employees enjoy flexible working options and the opportunity to work on some of the world's most exciting events. This role not only offers competitive benefits but also provides significant growth opportunities in a fast-paced, international environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Basingstoke
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ICP Search!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at ICP Search.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ICP Search.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at ICP Search, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Basingstoke
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ICP Search, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ICP Search. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ICP Search
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ICP Search!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
