Key Responsibilities

• Analyse user behaviour across digital products to identify behavioural patterns, trends, and growth opportunities.
• Develop behavioural segmentation models to better understand user intent and customer journeys.
• Identify friction points that impact activation, engagement, retention, and conversion.
• Build behavioural dashboards and reports that translate complex data into clear business recommendations.
• Partner with Product, Marketing, Lifecycle, and Operations teams to optimise customer experiences using behavioural insights.
• Design, monitor, and evaluate experiments to validate behavioural hypotheses and measure their business impact.
• Define behavioural KPIs and contribute to the continuous improvement of analytics frameworks.
• Present insights and strategic recommendations to stakeholders, supporting data-driven decision-making across the organisation.

Requirements

• Experience in behavioural analytics, product analytics, digital analytics, customer insights, or a related analytical role.
• Strong understanding of customer behaviour, user journeys, and behavioural segmentation.
• Experience working with behavioural data, analytics platforms, and data visualisation tools.
• Excellent analytical thinking and the ability to transform data into practical business recommendations.
• Familiarity with experimentation methodologies, including A/B testing and hypothesis validation.
• Strong communication skills with the ability to present insights to both technical and non-technical stakeholders.
• Proactive mindset, curiosity, and a passion for understanding human behaviour through data.
• Strong English proficiency for internal communication.

What We Offer

• Opportunity to build and shape behavioural intelligence capabilities across multiple digital platforms.
• Work with rich behavioural datasets that influence product strategy and customer experience.
• Close collaboration with Product, Marketing, AI, and Operations teams.
• Fully remote work environment with flexible working hours.
• Competitive compensation.
• Long-term projects, continuous learning, and opportunities for professional growth.

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