At a Glance
- Tasks: Conduct OSINT research and analyse data to support risk and investigations.
- Company: Join Sportradar Integrity Services, a leader in sports integrity.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Office-based in London with global team collaboration.
- Why this job: Make a real impact by providing actionable intelligence in a dynamic field.
- Qualifications: Strong analytical skills and attention to detail required.
The predicted salary is between 58500 - 71500 £ per year.
Sportradar Integrity Services seeks an Intelligence Analyst to support risk and investigations with end-to-end intelligence workflows.
You will conduct due diligence, perform OSINT research, analyze data from diverse sources, and produce actionable findings for internal and partner use.
The role requires strong analytical skills, high attention to detail, and ability to present findings to stakeholders.
Office-based in London with collaboration across global teams.
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OSINT-Powered Intelligence Analyst, Risk & Investigations in London employer: Sportradar AG
Sportradar is an exceptional employer, offering a vibrant and inclusive work culture that fosters collaboration and innovation among its diverse team members. With a strong focus on employee growth, the company provides opportunities for professional development and encourages autonomy in managing tasks, all while maintaining a supportive environment through various social events and well-being initiatives. Located in London, Sportradar's office-first model enhances team connections and drives success, making it an ideal place for passionate individuals to thrive in the sports performance industry.
StudySmarter Expert Advice🤫
We think this is how you could land OSINT-Powered Intelligence Analyst, Risk & Investigations in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace OSINT-Powered Intelligence Analyst, Risk & Investigations in London
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 Sportradar AG, 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 Sportradar AG. 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 Sportradar AG
✨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!
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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 Sportradar AG!
✨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.
