Senior Data Analyst
Role details
Job location
Tech stack
Job description
We are seeking a high-impact, product-minded Senior Data Analyst to join our Customer Interfaces Data team. In this role, you will be the analytical engine behind proving how our customer-facing interfaces, localized user portals, and standardized design systems drive tangible business results. You will take a holistic, outcome-oriented view of the entire customer journey, moving away from traditional, siloed reporting to design advanced metrics frameworks that optimize interface experiences and reduce user friction.
You will act as a strategic partner to Product, UX Design, and Engineering, directly influencing what we build, how we measure interface adoption, and how we empower product teams to make data-driven decisions independently.
What you'll do
- Own the Interface Metrics Strategy: Design, deploy, and maintain robust metrics that directly align interface performance to merchant success.
- Design System Analytics: Partner with our design and frontend engineering teams to measure the adoption, usability, and UI performance of standardized design system components across all platforms.
- Drive Localization Optimization: Conduct rigorous data deep dives into localized products and market-specific interfaces to ensure Adyen's products feel native, intuitive, and conversion-optimized in every region.
- Execute Rigorous A/B Testing: Design and execute large-scale conversion experiments and A/B tests to validate interface design hypotheses. Partner with teams to govern UX event-based analytics tools (such as Mixpanel) to measure user behavioral patterns cleanly.
- Strategic product partner: Act as a trusted data consultant for product, design, and engineering. Provide proactive recommendations, challenge assumptions, and lead impact-driven reviews of our core customer-facing systems.
Requirements
- Seasoned Analyst: You have 7+ years of experience in product analytics, UX analytics, or web/mobile interface behavioral data roles within a fast-paced setting.
- Experimentation and statistical expert: Proven experience in designing, driving, and rigorously analyzing large-scale experiments and A/B tests, including statistical analysis, that lead to significant, scalable business impact.
- Technically Proficient: Advanced SQL and Python are part of your daily toolkit. You are "Data Engineer Lite," with hands-on experience using Airflow for orchestration and PySpark/Pandas for large-scale data processing in a Big Data environment (Hadoop/Jupyter).
- AI-Native Thinker: You treat AI as a powerful collaborator. You are highly skilled in prompting, validating, and debugging AI-generated code and insights, keeping a sharp eye on data quality and governance.
- Effective communicator: An excellent communicator in English who can deal with ambiguity, collaborate with diverse stakeholders, and translate complex insights for both technical and non-technical audiences in a global team.
- Strategic executor: You excel at breaking down complex problems, prioritizing effectively, leading impactful projects, and aligning your work with strategic goals.
- Curious and scalable mindset: You possess a curious mindset, with a continuous drive to iterate, improve, and find better, scalable solutions.