Role Overview:

We are looking for a Senior Product Analyst who can sit at the intersection of Product, Data, Technology and Business and drive product decisions through deep customer and behavioural analytics.

The role will focus on understanding B2C customer journeys, product behaviour, conversion, engagement and retention, while leveraging advanced analytics, experimentation and AI/ML to identify opportunities and improve business outcomes.

This is a high-ownership role for someone who can go beyond dashboards and reporting identify the problem, uncover the "why", recommend the action and measure the impact.

Key Responsibilities:

Product & Customer Journey Analytics:

- Own analytics for end-to-end B2C product journeys, from acquisition and onboarding to activation, engagement, conversion, retention and monetisation.

- Analyse user behaviour to identify drop-offs, friction points, behavioural patterns and growth opportunities.

- Build and continuously evolve product funnels, cohorts, segmentation frameworks and journey-level metrics.

- Analyse customer journeys across multiple touchpoints and identify opportunities to improve conversion, engagement, retention and customer lifetime value.

- Develop a deep understanding of different customer segments and their behaviour across the product lifecycle.

Product Strategy & Decision-Making:

- Partner closely with Product Managers to define KPIs, metrics and analytical frameworks for product initiatives.

- Translate ambiguous product and business problems into structured analytical questions and actionable insights.

- Use data to challenge assumptions and influence product roadmap, prioritisation and customer experience decisions.

- Evaluate the impact of product launches, feature enhancements and customer experience initiatives.

- Build frameworks to measure incremental business impact, rather than simply tracking activity metrics.

Experimentation & Growth Analytics:

- Design, execute and analyse A/B tests and product experiments.

- Evaluate experiment results using appropriate statistical methodologies and provide clear recommendations.

- Analyse acquisition-to-activation and activation-to-retention journeys to identify growth opportunities.

- Work with Product and Growth teams to improve funnel efficiency and customer conversion.

- Identify opportunities for personalisation, recommendations and next-best-action experiences.

AI / ML & Advanced Analytics:

- Identify opportunities where AI/ML can improve customer journeys, product experiences and decision-making.

- Partner with Data Science/ML teams to define business problems, features, success metrics and model evaluation frameworks.

- Leverage predictive analytics for use cases such as propensity modelling, churn prediction, segmentation, recommendations, engagement and conversion.

- Evaluate model outcomes and translate complex ML outputs into actionable product recommendations.

- Explore emerging AI capabilities and identify practical applications across the B2C product ecosystem.

Data & Analytics:

- Work with Data Engineering and Technology teams to ensure data quality, availability and reliability.

- Define event tracking and analytics instrumentation requirements for new product features.

- Build and maintain analytical datasets, dashboards and reporting frameworks.

- Establish consistent definitions for critical product and business metrics.

- Develop monitoring frameworks for key product and customer metrics.

Business Impact & Strategic Insights:

- Connect product metrics with broader business outcomes such as revenue, customer acquisition, retention, engagement and profitability.

- Conduct deep-dive and ad-hoc analyses to identify business and customer trends.

- Proactively identify risks, opportunities and emerging behavioural patterns.

- Present insights to senior stakeholders in a simple, structured and action-oriented manner.

- Answer not just "What happened?", but also "Why did it happen?", "What should we do?" and "How will we measure success?"

What We're Looking For:

- 5+ years of experience in Product Analytics, Business Analytics, Growth Analytics, Data Analytics or a similar role.

- Strong hands-on experience with B2C product and customer journey analytics.

- Excellent understanding of funnels, cohorts, retention, segmentation, conversion and behavioural analytics.

- Strong SQL skills with experience working with large and complex datasets.

- Strong understanding of statistics, experimentation and A/B testing.

- Experience with product analytics and visualisation tools such as Mixpanel, Amplitude, GA4, Tableau, Power BI or similar platforms.

- Working knowledge of Python/R for advanced analytics, statistical analysis or modelling.

- Strong understanding of AI/ML concepts and experience collaborating with Data Science/ML teams.