At a Glance
- Tasks: Conduct intelligence investigations to protect our sports data and intellectual property.
- Company: Join the world's leading sports technology company with a global impact.
- Benefits: Flexible work environment, social events, and a focus on well-being.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real difference in sports integrity and revenue recovery.
- Qualifications: 2+ years in intelligence or related fields; strong analytical skills required.
The predicted salary is between 34650 - 42350 £ per year.
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting.
More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
Job Description
Working within the Rights & Revenue Protection (RRP) team, the
Intelligence Analyst will support investigations relating to the protection of Sportradar's intellectual property and revenue recovery activitiesacross Europeand North America.
The role focuses onidentifyingand assessing threats to Sportradar's content, data and commercial interests, including unauthorised data usage, piracyand intellectual property infringement.
Using a range of open-source, cyber and commercial data sources, the analyst will deliver intelligence that supports enforcement activity, commercialoutcomesand strategic decision-making.
The position requires a motivated intelligence professional who thrives in a fast-paced environment and supports stakeholders across the wider Sportradar Group.
- THE CHALLENGE
- Conduct intelligence investigations using an all-source approach across rights protection, enforcementand revenue recovery matters.
- Collect, analyseand evaluate intelligence from open-source, cyber and commercial sources.
- Conduct OSINT and CYBINT/DNINT investigations to produce actionable intelligence and recommendations.
- Identifyand investigate unauthorised use of Sportradar data, contentand intellectual property.
- Develop andmaintainintelligence holdings relating to organisations, individuals and platformsoperatingacross Europe and North America.
- Monitor emerging risks and trends relevant to intellectual property protection, piracy, sportsbettingand revenue recovery.
- Produce intelligence reports, analyticalassessmentsand stakeholder briefings.
- Support enforcement and commercial recovery initiatives through intelligence development and research.
- Work closely across multiple Sportradar functions and departments to protect and enhance Sportradar business operations, including internal and external training and education on sports integrity.
ABOUT YOU
- 2+ years' experience in intelligence, investigations, law enforcement, journalism, cyber security, financial crime, fraud, duediligenceor a related analytical field.
- Experience conducting analytical investigations and producing intelligence-led outputs.
- Demonstrableexpertisein OSINT, HUMINT, CYBINT/DNINT or comparable intelligence methodologies.
- Strong analytical, critical thinking and problem-solving skills.
- Ability to collect, evaluate and interpret information from multiple sources and produce actionable intelligence.
- Knowledge of online ecosystems, digitalplatformsand investigative research techniques.
- Awareness of data protection legislation and associated implications.
- High standards of confidentiality, integrity and professionalism.
- Ability to manage changing priorities and work effectively under pressure and to tight deadlines.
- Fluency in English essential, professional workingproficiencyin Frenchor another living languagestrongly preferred.
- Advantageous
- Experience using intelligence analysis tools such as i2 Analyst's Notebook, Maltegoor similar.
- Knowledge of the international sports betting, gaming, mediaor anti-piracy landscapes.
- Professional networks or regional knowledge across Europe and/or North America.
- Experience conducting investigations relating to intellectual property infringement, brand protection, digitalpiracyor revenue recovery.
- Understanding of corporate structures, beneficial ownershipresearchand due diligence methodologies.
- Experience working with commercial intelligence databases and specialist investigative tools.
- Relevant intelligence, investigationor analytical certifications.
OUR OFFER
- Acollaborative environmentwith colleagues from all over the world (Offices in Europe, Asia and US) including varioussocial eventsandteambuilding.
- Flexibilityto manage your workday and tasks withautonomy.
- A balance ofstructureandautonomyto tackle your daily tasks.
- Vibrantandinclusivecommunity, including Women in Techand Pride groupswhich welcome all participants.
- Global Employee Assistance Programme.
- Calmand Reulay app(leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).
While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company.
The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture.
For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.
OUR RECRUITMENT PROCESS
Initial Screening
: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
Hiring Team Interview
: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit.
Assessment
: Investigative task to showcase your technical skills.
Final Steps
: Receive feedback and, if successful, an offer!
#J-18808-Ljbffr
Intelligence Analyst 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 Intelligence Analyst in London
✨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 Sportradar AG!
✨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 Intelligence Analyst at Sportradar AG.
✨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 Sportradar AG.
✨Apply Directly through Our Website
When you find a suitable opening like Intelligence Analyst at Sportradar AG, 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 Intelligence Analyst 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!
✨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 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.
