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For Companies At a Glance
- Tasks: Analyse user behaviour and product performance to enhance online safety.
- Company: Leading Trust & Safety tech company in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of safety technology and make a real difference.
- Qualifications: Bachelor's degree in a quantitative field and 2 years of product analytics experience.
- Other info: Join a dynamic team focused on user-centric solutions.
The predicted salary is between 36000 - 60000 £ per year.
A Trust & Safety tech company in Greater London is seeking a Product Data Analyst to evaluate user behavior and product performance related to online safety.
Candidates should possess a Bachelor's degree in a quantitative field and at least 2 years of experience in product analytics. Proficiency in SQL and data visualization tools is essential.
This role offers an opportunity to shape the future of safety technology while actively contributing to user-centric solutions.
Product Data Analyst: Insights for Online Safety & Growth in London employer: VerifyMy
Contact Detail:
VerifyMy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst: Insights for Online Safety & Growth in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in Trust & Safety tech. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! When you get the chance to interview, be ready to discuss your experience with SQL and data visualisation tools. Bring examples of how you've used these skills to drive product insights.
✨Tip Number 3
Tailor your approach! Research the company’s products and user behaviour trends. This will help you ask smart questions during interviews and show that you're genuinely interested in their mission.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your talents directly. Plus, it shows us you're keen on being part of our team and shaping the future of online safety together.
We think you need these skills to ace Product Data Analyst: Insights for Online Safety & Growth in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and data visualisation tools in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Quantitative Background Matters: Since a Bachelor’s degree in a quantitative field is a must, be sure to mention your educational background clearly. We love seeing how your studies have prepared you for this role!
User-Centric Focus: This role is all about user behaviour and safety, so share any relevant experiences where you’ve contributed to user-centric solutions. We’re keen to know how you can help shape the future of safety technology!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at VerifyMy
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any data visualisation tools you’ve used. Be ready to discuss specific projects where you’ve applied these tools to analyse user behaviour or product performance.
✨Understand Online Safety Trends
Familiarise yourself with current trends in online safety technology. Being able to discuss recent developments or challenges in the field will show your genuine interest and understanding of the role.
✨Prepare for Behavioural Questions
Think about past experiences where you’ve had to solve problems or make decisions based on data. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Showcase User-Centric Solutions
Be prepared to talk about how your work has contributed to user-centric solutions in previous roles. Highlight any specific examples where your analysis led to improvements in user experience or safety.
