Senior Data Analyst - iProov

Senior Data Analyst

About iProov

iProov provides science-based biometric solutions that enable the world's most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance.

This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.

The Role

Reports to: Head of Data Analytics & Business Intelligence

Location: WeWork HQ (London) - Hybrid (At least once per week)

Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits

As a Senior Data Analyst, you will serve as a strategic partner to our Revenue, Product, and Science & Technology teams. You won't just answer questions; you will help define them. By combining technical rigour with deep business acumen and owning how we measure and experiment, you will move the organisation beyond reactive reporting toward proactive, predictive decision-making.

Ultimately, your ability to translate complex findings into actionable recommendations will empower stakeholders to make informed strategic decisions that drive business growth and innovation.

How you can make an impact

• Lead strategic analysis : Proactively identify business opportunities and risks; take ownership of ambiguous problems and drive them from question to conclusion.
• Own experimentation & statistical rigour : Design and interpret A/B tests and experiments, and apply sound statistical and causal-inference methods so that decisions rest on trustworthy evidence.
• Define success metrics : Work with Product, Tech, and Science to define success metrics and the instrumentation behind them for new features before they launch, ensuring measurable outcomes.
• Turn data into insight : Design insight-driven dashboards in Looker that answer strategic questions and tell a clear story rather than just displaying numbers, partnering with the BI analyst, who takes on their ongoing development and maintenance.