Data Analyst (Product)

Responsibilities

• Product analytics & insights
• Analyse user behaviour and product journeys across web and mobile applications: funnels, activation, engagement, retention, monetisation, and feature adoption.
• Identify drop-offs, behavioural patterns, friction points, and growth opportunities and translate them into actionable product hypotheses.
• Evaluate the impact of product launches and changes and explain what changed, why it changed, and for whom.
• Experimentation & hypotheses
• Work with the Product team to formulate and prioritise hypotheses and define measurable success criteria.
• Design and analyse A/B tests and other experiments, including primary metrics, guardrails, sample-size considerations, segmentation, and statistical interpretation.
• Ensure experiment results are translated into clear product decisions and next steps, not just statistical conclusions.
• Metrics & product monitoring
• Define and maintain product KPIs and metric trees, ensuring consistent definitions across teams.

Languages