At a Glance
- Tasks: Lead data analysis to support recruitment strategies and player evaluations.
- Company: Join a vibrant club with global ambitions and strong community ties.
- Benefits: Competitive salary, supportive team, and opportunities for personal growth.
- Other info: Inclusive culture that values diversity and promotes personal authenticity.
- Why this job: Make a real impact in a fast-paced environment while working with data-driven insights.
- Qualifications: Experience in data analysis and a passion for sports recruitment.
The predicted salary is between 29700 - 36300 £ per year.
Be part of something bigger. We are the heartbeat of the city. A club with bold ambitions on a global stage and deep roots in our community. If you’re driven to raise the bar and make an impact, you’ll find the platform, the people and the pride to do your best work here. This is a great opportunity to develop, learn and make a real contribution in a fast-paced and exciting environment.
About the role
To lead the application of data informed intelligence within the recruitment department, identifying, evaluating and ranking player targets to support first team and emerging global talent performance objectives.
What you’ll do:
- Produce reporting and insights on transfer market trends and competitor benchmarking.
- Build and manage recruitment dashboards and automated workflows.
- Collaborate with data teams and external providers to drive innovation.
- Identify and rank player targets using data-led models.
- Deliver player analysis and evidence based recommendations to stakeholders.
- Support recruitment strategy with data driven insights and reporting.
The team
You’ll be part of a friendly, supportive and dedicated team who will help you settle in and succeed. We value curiosity, teamwork and a positive approach. United As One. We’re committed to equality, diversity and inclusion and believe in equal opportunities for all. We recognise that the diversity of our people is one of our greatest strengths. We work together to reflect the communities we serve and to maintain an inclusive environment in which everyone can be their authentic self and is enabled to achieve their full potential.
Safeguarding
We’re committed to being a place where everyone is safe, heard, valued and able to thrive so we place high value on the safeguarding and welfare of everyone we engage with. This position is UK based and requires proof of the right to live and work in the UK. All job offers are conditional upon background checks, including reference history, DBS checks, and verification of your eligibility to work. Please note, we do not sponsor applicants without the right to work in the UK.
Lead Recruitment Data Analyst in Newcastle upon Tyne employer: Newcastle United
Join a vibrant team at the heart of Newcastle Upon Tyne, where your role as a Retail Advisor will not only support our community but also offer you a chance to grow and develop in a dynamic retail environment. With a commitment to inclusivity and teamwork, we provide flexible working hours, competitive pay, and a supportive culture that values every employee's contribution. Experience the thrill of working during key events while enjoying a sense of belonging and pride in delivering exceptional service to our loyal supporters.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Recruitment Data Analyst in Newcastle upon Tyne
✨Get Involved in Data Science Meetups
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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 Newcastle United.
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We think you need these skills to ace Lead Recruitment Data Analyst in Newcastle upon Tyne
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 Newcastle United, 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 Newcastle United. 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 Newcastle United
✨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 Newcastle United!
✨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.
