Responsibilities

• Partner with Product Managers, Designers, and Engineers to define success metrics and ensure every feature can be measured effectively.
• Design and standardise our experimentation process developing the AB testing playbook, templates, and guidance for consistent, trustworthy experiments across Paddle.
• Lead the analysis of AB tests and quasi-experiments to quantify product impact and identify improvement opportunities.
• Explore user behaviour data to surface insights that inform prioritisation, conversion, and retention strategies.
• Build analytical frameworks, dashboards, and models to support product strategy and decision-making.
• Work closely with Analytics Engineering to ensure reliable, well-documented datasets and metrics.
• Coach and support direct report, providing guidance on analytical methods, communication, and stakeholder management.
• Share insights clearly and persuasively, turning data into stories that influence product direction.
• Contribute to a culture of experimentation, helping teams frame hypotheses, interpret results, and learn faster.

Requirements

• Experience in product analytics and experimentation, ideally within fintech or payments environment.
• Skilled in statistical methods, causal inference, and experiment design.
• Fluent in SQL and Python for data exploration, modelling, and analysis.
• Comfortable partnering with cross-functional teams, influencing decisions through evidence and clarity.
• Passionate about building scalable experimentation frameworks and enabling others to self-serve.
• Curious and commercially minded, connecting analytical results to customer value and business outcomes.
• Excited to operate end-to-end: from defining the question, to running the analysis, to influencing the outcome.
• Motivated by mentoring others and helping to grow a small but high-impact Product Science function.