About
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.
The Opportunity 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
Edge & CDN: Cloudflare
Observability: Grafana · Metabase
AI/ML: Anthropic Claude · Google Gemma · Cursor / Warp
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.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.