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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 with big-name clients like eBay and Google.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on online safety while working with cutting-edge technology.
- Qualifications: Bachelor's degree in a quantitative field and 2+ years of product analytics experience.
- Other info: Dynamic team environment focused on innovation and safeguarding children online.
The predicted salary is between 30000 - 50000 £ 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. 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 employer: VerifyMy
Contact Detail:
VerifyMy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst
✨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 personal project that showcases your data analysis abilities. Use real-world examples related to online safety or product analytics to make it relevant.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you’ve used data to drive decisions in past roles, especially in B2B SaaS or RegTech 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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product Data Analyst role. Highlight your experience in product analytics, SQL proficiency, and any relevant tools you've used. We want to see how your skills align with our mission at Verifymy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for online safety technology and how your background makes you a great fit for our team. Let us know why you're excited about the opportunity to work with us.
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills. Mention specific projects where you've used data to drive decisions or improve processes. We love seeing real-world examples of your impact!
Apply Through Our Website: Don't forget to apply 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 mission-driven 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 that you're comfortable with these technologies will give you a leg up.
✨Understand User Behaviour
Since the role focuses on analysing user behaviour, come prepared with examples of how you've tracked user journeys and identified friction points in previous roles. Think about specific metrics you've monitored and how your insights led to product improvements.
✨Showcase Your Analytical Skills
Be ready to talk about your experience with statistical analysis and A/B testing methodologies. Prepare to discuss a project where you applied these techniques, what the outcomes were, and how they influenced decision-making. This will demonstrate your ability to drive data-informed decisions.
✨Familiarise Yourself with Compliance and Safety
Given Verifymy's focus on online safety and compliance, it’s crucial to understand the basics of GDPR and child protection regulations. Bring up any relevant experience you have in these areas, and be prepared to discuss how you would approach safety metrics and compliance analytics in your role.
