At a Glance
- Tasks: Collect intelligence data and write reports to help clients mitigate online risks.
- Company: Join a dynamic team at Alice, focused on innovative web intelligence.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Exciting environment with opportunities to work on diverse projects.
- Why this job: Make a real impact by analysing data and providing actionable insights.
- Qualifications: Experience in OSINT investigations and strong analytical skills.
The predicted salary is between 35000 - 45000 £ per year.
Alice is seeking a skilled Web Intelligence Analyst to join our dynamic team.
You will collect intelligence data, write comprehensive reports, and provide actionable insights to help clients understand and mitigate online risks.
You will conduct high-level OSINT investigations, monitor platforms for malicious activity, assess policy frameworks for vulnerable audiences, and support product teams by tracking trends and customer needs.
Large data analysis will drive meaningful insights.
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OSINT Web Intelligence Specialist employer: Alice (Formerly ActiveFence)
Alice offers a dynamic and supportive work environment where innovation thrives, making it an excellent employer for those passionate about cybersecurity. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to collaborate with talented professionals in a mission-driven culture. Located in a vibrant tech hub, our team enjoys a flexible work-life balance and the unique advantage of contributing to the safety of digital ecosystems.
Contact Details:
Alice (Formerly ActiveFence) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land OSINT Web Intelligence Specialist
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We think you need these skills to ace OSINT Web Intelligence Specialist
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!
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✨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.
