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.
