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- Tasks: Transform data into insights that shape mobile security products and trends.
- Company: Leading mobile security firm in Belfast with a focus on diversity.
- Benefits: Full-time role with competitive salary and inclusive work culture.
- Why this job: Join a dynamic team and make a real impact in mobile security.
- Qualifications: Strong SQL and Python skills, plus experience in data visualisation tools.
- Other info: Opportunity to collaborate and grow in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading mobile security firm in Belfast seeks a Data Analyst to transform datasets into actionable insights that drive product decisions. You will analyze mobile event telemetry, build dashboards, and collaborate with teams to uncover trends and threat behaviors.
Ideal candidates have strong SQL and Python skills, along with experience in data visualization tools. This is a full-time position with a commitment to diversity and inclusion.
Security Data Analyst: Mobile Threat Insights in Belfast employer: iVerify
Contact Detail:
iVerify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Data Analyst: Mobile Threat Insights in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the mobile security space on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to data visualisation. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. We recommend practising how you’d approach analysing mobile event telemetry and presenting your findings clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Security Data Analyst: Mobile Threat Insights in Belfast
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you can transform data into insights, so don’t hold back on showcasing your experience with data visualisation tools too!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to mobile event telemetry and how you've collaborated with teams in the past. It helps us see how you fit into our culture!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and what you can bring to the team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our diverse and inclusive team!
How to prepare for a job interview at iVerify
✨Know Your SQL and Python
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages to analyse data or build dashboards. They’ll likely want to see how you can apply these skills in real-world scenarios.
✨Showcase Your Data Visualisation Skills
Prepare to talk about your experience with data visualisation tools. Bring examples of dashboards you've created and be ready to explain how they helped drive product decisions. This will demonstrate your ability to turn complex data into actionable insights.
✨Understand Mobile Threat Trends
Familiarise yourself with current trends in mobile security threats. Being able to discuss recent incidents or emerging threats will show that you're not just a data analyst, but someone who understands the bigger picture in mobile security.
✨Emphasise Collaboration
Since the role involves working with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve worked with others to uncover trends and behaviours in data.
