Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse user behaviour and product performance to enhance online safety technologies.
- Company: Join Verifymy, a fast-growing Trust & Safety tech company dedicated to safeguarding children online.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on online safety while working with top clients like eBay and Google.
- Qualifications: Bachelor's degree in a quantitative field and 2+ years in product analytics.
- Other info: Dynamic team environment focused on innovation and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
Verifymy is a rapidly growing Trust & Safety tech business dedicated to safeguarding children and society online. We provide frictionless, trustworthy Age Assurance and Content Moderation solutions to help platforms maintain their integrity, protect their reputation, and safeguard their customers.
We have had considerable commercial success already, with marquee clients such as eBay and Google and strong recurring revenues. Following recent investment, we have some exciting product developments on the roadmap and are looking to scale rapidly through 2026.
We're seeking a Product Data Analyst to join our mission-driven team and help shape the future of online safety technology. You'll play a crucial role in analysing user behavior, product performance, and safety metrics to drive data-informed decisions that enhance our verification technologies and improve user experiences while maintaining the highest safety standards.
What We're Looking For
- Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related quantitative field
- 2+ years of experience in product analytics, preferably in B2B SaaS, RegTech, or online safety/security sectors
- Proficiency in SQL and NoSQL databases (MongoDB, Elasticsearch, DynamoDB, or similar)
- Experience with data visualisation tools (Metabase, Power BI, or similar) and observability platforms (Grafana, DataDog, New Relic)
- Experience with statistical analysis and A/B testing methodologies
- Strong Python or R skills for data analysis and modelling
- Understanding of API analytics, platform monitoring, and ability to work with large, complex datasets
- Experience with system observability, performance monitoring, and infrastructure metrics analysis
Nice to have
- Experience in online safety, age verification, content moderation, or compliance technology
- Knowledge of machine learning concepts and model evaluation metrics
- Familiarity with privacy-preserving analytics techniques and GDPR compliance
- Experience with cloud analytics platforms (AWS, GCP, or Azure) and their monitoring services
- Understanding of biometric and identity verification systems
- Background in fraud detection or anomaly detection analytics
- Experience with time-series databases and real-time streaming analytics
- Knowledge of containerised environments (Docker, Kubernetes) and microservices observability
What You'll Work On
- Product Analytics & Insights
- Analyse user journeys across our age verification and content moderation platforms to identify friction points and optimisation opportunities
- Track and report on key product metrics including verification success rates, completion times, false positive/negative rates, and user drop-off patterns
- Conduct cohort analysis and user segmentation to understand behaviour patterns across different demographics and use cases
- Develop dashboards and automated reporting for product teams to monitor real-time performance of verification workflows
- Platform Observability & Performance
- Design and implement observability frameworks to monitor platform health, API performance, and system reliability
- Create and maintain monitoring dashboards for infrastructure metrics, application performance, and user experience indicators
- Analyse system logs and performance data from databases to identify bottlenecks and optimisation opportunities
- Collaborate with DevOps and Engineering teams to establish SLA monitoring and alerting for critical verification services
- Track and report on platform uptime, response times, and scalability metrics across our global infrastructure
- Safety & Compliance Analytics
- Monitor and analyse safety metrics related to child protection and age verification accuracy
- Investigate anomalies in verification patterns that could indicate fraudulent activity or system vulnerabilities
- Support compliance reporting by analysing age assurance effectiveness and regulatory adherence metrics
- Collaborate with ML teams to evaluate model performance and bias detection in age estimation algorithms
- Business Intelligence & Strategy
- Partner with Product Managers to define success metrics for new features and conduct A/B testing analysis
- Analyse client onboarding data and usage patterns to inform product roadmap decisions
- Conduct competitive analysis and market research to identify opportunities for product enhancement
- Support sales and customer success teams with data-driven insights on platform performance and ROI
- Create documentation and best practices for data analysis within the product organisation
Equal opportunity
Verifymy is an equal opportunity employer and is committed to providing a workplace that is free from discrimination and harassment. We celebrate diversity and are dedicated to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or any other protected characteristic under applicable law.
Product Data Analyst in London employer: VerifyMy
Contact Detail:
VerifyMy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Verifymy. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data analysis projects. This gives you a chance to demonstrate your proficiency in SQL, Python, and data visualisation tools, making you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of online safety tech and product analytics. Be ready to discuss how you’ve used data to drive decisions in past roles, especially in B2B SaaS environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission-driven team.
We think you need these skills to ace Product Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product Data Analyst role. Highlight your experience with SQL, data visualisation tools, and any relevant projects that showcase your analytical skills. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for online safety technology and how your skills can contribute to our goals. Be sure to mention any experience you have in B2B SaaS or RegTech, as it’s super relevant to us.
Showcase Your Analytical Skills: In your application, don’t forget to highlight specific examples of your analytical work. Whether it’s A/B testing or cohort analysis, we love seeing how you’ve used data to drive decisions and improve user experiences.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at VerifyMy
✨Know Your Data Tools
Make sure you brush up on your SQL and NoSQL skills before the interview. Be ready to discuss how you've used tools like MongoDB or Elasticsearch in past projects, as well as any data visualisation tools like Metabase or Power BI. Showing familiarity with these technologies will demonstrate your readiness for the role.
✨Understand User Behaviour
Since the role involves analysing user journeys, think about how you can showcase your experience with cohort analysis and user segmentation. Prepare examples of how you've identified friction points in user experiences and what actions you took to optimise them. This will highlight your analytical skills and understanding of user behaviour.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've tackled performance issues or bottlenecks in systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you convey your problem-solving approach effectively and show how you can contribute to platform observability and performance.
✨Stay Current on Compliance and Safety
Given the focus on online safety and compliance, it’s crucial to be knowledgeable about GDPR and age verification technologies. Familiarise yourself with recent trends in online safety and be ready to discuss how you would approach safety metrics and compliance reporting. This will demonstrate your commitment to the mission of the company.
