Key Responsibilities

• Mapping and analysing customer journeys across key stages of the user lifecycle.
• Identifying friction points, drop-offs, behavioural patterns, and opportunities for journey optimisation.
• Developing hypotheses and optimisation initiatives based on behavioural and performance data.
• Collaborating with Product, Analytics, Marketing, and Operations teams to improve user journeys across platforms.
• Analysing how different user segments interact with products and identifying differences in behaviour and intent.
• Monitoring journey performance across activation, engagement, conversion, retention, and reactivation.
• Designing and evaluating experiments, including A/B tests and journey optimisation initiatives.
• Translating behavioural insights into clear recommendations and actionable improvements.
• Defining journey-level KPIs and measurement frameworks to evaluate the impact of optimisation initiatives.
• Continuously reviewing customer journeys as user behaviour, products, and business priorities evolve.

Requirements

• Experience in customer journey optimisation, product analytics, growth, customer experience, lifecycle, or a related role.
• Strong understanding of digital customer journeys, user behaviour, conversion funnels, and lifecycle stages.
• Experience working with behavioural or product analytics data.
• Ability to identify patterns and translate data into practical optimisation opportunities.
• Understanding of experimentation methodologies, including hypothesis development and A/B testing.
• Experience working with cross-functional Product, Marketing, Analytics, or Operations teams.
• Strong analytical and problem-solving skills.
• Ability to communicate insights and recommendations clearly to both technical and non-technical stakeholders.
• Structured approach to prioritisation, experimentation, and performance measurement.
• Strong English proficiency for internal communication.

What We Offer

• Opportunity to shape customer journeys across multiple digital products and platforms.
• Access to behavioural data and analytics-driven decision-making.
• Direct impact on engagement, conversion, retention, and customer experience.
• Close collaboration with Product, Analytics, Marketing, and Operations teams.
• Fully remote work format.
• Competitive compensation.
• Long-term projects and professional development opportunities.

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